Animation Clips Research Articles

Visualize our customized text to image diffusion models without using any special technology

Nowadays considering the advancement of text-to-image frameworks (for example, Stable Diffusion [22]) and associated customizing approaches like DreamBooth [24] and LoRA [13], anybody may express their ideas into images of excellent quality at affordable rates. As a result, picture animations approaches that blend created static images with motion dynamics are in high demand. On this paper, we provide a realistic framework for animating most current personalized text-to-image models for good after everything, therefore saving valuable time on model-specific tweaking. The suggested framework's central idea is to inject a dynamically initialized motion modeling modules into an existing frozen text-to-image model and training it using video clips to extract realistic motion priorities. Once trained, all personalized versions that utilize the same basic T2I quickly transform into text-driven models which generate different and personalized animated visuals by just injecting the aforementioned motion modeling module. We test numerous public indicative personalized text-to-image models on animated images and realistic images, and show how our proposed framework helps these frameworks generate temporally smooth animation clips whereas conserving the domain as well as different perspectives of their outputs. The code and pre-trained weights are going to be made public on our project website.

Visualize our customized Text to image diffusion model without using any special technology

Nowadays considering the advancement of text-to-image frameworks (for example, Stable Diffusion [22]) and associated customizing approaches like DreamBooth [24] and LoRA [13], anybody may express their ideas into images of excellent quality at affordable rates. As a result, picture animations approaches that blend created static images with motion dynamics are in high demand. On this paper, we provide a realistic framework for animating most current personalized text-to-image models for good after everything, therefore saving valuable time on model-specific tweaking. The suggested framework's central idea is to inject a dynamically initialized motion modeling modules into an existing frozen text-to-image model and training it using video clips to extract realistic motion priorities. Once trained, all personalized versions that utilize the same basic T2I quickly transform into text-driven models which generate different and personalized animated visuals by just injecting the aforementioned motion modeling module. We test numerous public indicative personalized text-to-image models on animated images and realistic images, and show how our proposed framework helps these frameworks generate temporally smooth animation clips whereas conserving the domain as well as different perspectives of their outputs. The code and pre-trained weights are going to be made public on our project website.

Task difficulty, risk feeling, and safety margin in the determination of driver behavior to prepare for traffic conflicts

Unpredictable pedestrian and cyclist behavior associated with their appearance on the road in blind spots contributes to traffic near-misses or crashes. When experienced drivers are confronted with uncertainty, they take defensive measures called hazard-anticipatory driving, such as decreasing the vehicle velocity and/or increasing the lateral distance. Our research sought to understand the motivational determinants and perceptual processes that determine driver behavior in preparation for traffic conflicts with covert hazards.This study aimed to investigate the influence of driving experience on drivers’ perceptions and behaviors to prepare for traffic conflicts. Two experiments were designed with 8 experienced and 13 inexperienced participants. In Experiment 1, participants were asked to provide their subjective impressions of task difficulty, feeling of risk, and statistical risk pertaining to assess their perceptions of the separation between task demand and capability after viewing animation clips of road scenes with blind intersections under different forced speeds. In Experiment 2, participants drove using a driving simulator in scenes with blind intersections, similar to those in Experiment 1. We sought to explore the motivational determinants of behavior regarding the relationship between subjective feelings and objective safety margins.The results showed that the driver’s perception of task difficulty correlated with their driving speed, and inexperienced participants tended to underestimate task difficulty compared to experienced participants. The task difficulty and the feeling of risk were strongly correlated regardless of experience, and estimation of statistical risk differed depending on experience. The subjective task difficulty (and/or risk feeling) and objective safety margin were strongly correlated for experienced participants. Experienced participants who perceived a higher degree of difficulty in the forced-paced driving task tended to have greater safety margins in the self-paced driving task. These findings suggest that experienced participants with individually tolerable safety margins adjust their driving velocity and/or lateral distance in the control of task difficulty (and/or risk feeling) to prepare for traffic conflicts. Therefore, the underestimation of task difficulty should be considered when designing effective measures, such as driver assistance systems, to guide inexperienced drivers toward normative behaviors.

VideoDoodles: Hand-Drawn Animations on Videos with Scene-Aware Canvases

We present an interactive system to ease the creation of so-called video doodles - videos on which artists insert hand-drawn animations for entertainment or educational purposes. Video doodles are challenging to create because to be convincing, the inserted drawings must appear as if they were part of the captured scene. In particular, the drawings should undergo tracking, perspective deformations and occlusions as they move with respect to the camera and to other objects in the scene - visual effects that are difficult to reproduce with existing 2D video editing software. Our system supports these effects by relying on planar canvases that users position in a 3D scene reconstructed from the video. Furthermore, we present a custom tracking algorithm that allows users to anchor canvases to static or dynamic objects in the scene, such that the canvases move and rotate to follow the position and direction of these objects. When testing our system, novices could create a variety of short animated clips in a dozen of minutes, while professionals praised its speed and ease of use compared to existing tools.

Preserving of Hornbill Bird through 3-Dimensional Animation Clips

Post-Covid-19 pandemic conditions, the use of digital technology in animation and multimedia can produce works that can be used as a solution to existing problems, especially in the conservation of the Indonesian Borneo hornbill. The design in the form of a film or animation clip aims to educate the importance of hornbill conservation. The method used in this study uses a qualitative descriptive method with data collection and data processing, in the technical implementation of the animation pipeline, namely the stages of pre-production, pre-production, and post-production. The results of this study have succeeded in using these stages and producing a video or animation clip entitled The Spirit of Ampong with three-dimensional techniques. It is hoped that the results of the design will have a positive impact on the conservation of the hornbill.

Khel Tale: An Interactive Animated Storybook App for Children

According to the current study, children adores reading fairy tales or comics since their childhood. In today’s world, digital grounds have transformed storybooks into animated illustrations. In particular, famous studios like Disney are producing movies out of them to attract and influence millions of children. However, moral based stories have always been in demand to teach children that how to pay heed to the elder’s advice. Also, how to morally transform their behavior in a positive manner. Khel Tale is a modern version of animated storybook application for children to play which asks them to pick one of the main characters of their own choice, out of the story. Thus, children enjoy the consequences of making those choices at the end of the story. It is a choice based animated storybook that plays 3D animation clips in order to narrate the whole story to children through pictorial illustrations. The main purpose of this mobile application is to teach children regarding the importance of obeying the instructions of their elders through decision-based 3D animated stories. The application runs in landscape mode and is divided into further episodes. The content of each episode covers a small lesson for children. An episode begins by playing a fixed 3D animation video clip, and later on it offers two choices to children in order to particularly conclude the episode either with a good choice or a bad choice. Later, children can also see the consequences of their choices and actions in the story. The basic concept of this application revolves around a thought that mostly children are fascinated by the characters they observe in cartoons and read in stories. Hence, they start relating them to those characters. This concept is evolved by combining the approach of teaching to children through 3D animated stories where they can choose the characters to see the reaction of not listening to their elders. They also observe that what reward they can get if they actually act patient and listen to what elders advised them. Hence, the current study regarding Khel Tale application concludes it with the effectiveness. 
 Index Terms: Animated storybook, audio dubbing, computer animations, Khel Tale, teaching good behavior, 3D and 2D visual models

Does a walk-through video help the parser down the garden-path? A visually enhanced self-paced reading study in Dutch.

The human language processing mechanism assigns a structure to the incoming materials as they unfold. There is evidence that the parser prefers some attachment types over others; however, theories of sentence processing are still in dispute over the stage at which each source of information contributes to the parsing system. The present study aims to identify the nature of initial parsing decisions during sentence processing through manipulating attachment type and verbs' argument structure. To this end, we designed a self-paced reading task using globally ambiguous constructions in Dutch. The structures included double locative prepositional phrases (PPs) where the first PP could attach both to the verb (high attachment) and the noun preceding it (low attachment). To disambiguate the structures, we presented a visual context in the form of short animation clips prior to each reading task. Furthermore, we manipulated the argument structure of the sentences using 2- and 3-argument verbs. The results showed that parsing decisions were influenced by contextual cues depending on the argument structure of the verb. That is, the visual context overcame the preference for high attachment only in the case of 2-argument verbs, while this preference persisted in structures including 3-argument verbs as represented by longer reading times for the low attachment interpretations. These findings can be taken as evidence that our language processing system actively integrates information from linguistic and non-linguistic sources from the initial stages of analysis to build up meaning. We discuss our findings in light of serial and parallel models of sentence processing.

Recovery of vivid 3D percepts from 125 years of historical motion film and animation clips, part 2 - 3D movies

Recovery of vivid 3D percepts from 125 years of historical motion film and animation clips, part 2 - 3D movies

Character articulation through profile curves

Computer animation relies heavily on rigging setups that articulate character surfaces through a broad range of poses. Although many deformation strategies have been proposed over the years, constructing character rigs is still a cumbersome process that involves repetitive authoring of point weights and corrective sculpts with limited and indirect shaping controls. This paper presents a new approach for character articulation that produces detail-preserving deformations fully controlled by 3D curves that profile the deforming surface. Our method starts with a spline-based rigging system in which artists can draw and articulate sparse curvenets that describe surface profiles. By analyzing the layout of the rigged curvenets, we quantify the deformation along each curve side independent of the mesh connectivity, thus separating the articulation controllers from the underlying surface representation. To propagate the curvenet articulation over the character surface, we formulate a deformation optimization that reconstructs surface details while conforming to the rigged curvenets. In this process, we introduce a cut-cell algorithm that binds the curvenet to the surface mesh by cutting mesh elements into smaller polygons possibly with cracks, and then derive a cut-aware numerical discretization that provides harmonic interpolations with curve discontinuities. We demonstrate the expressiveness and flexibility of our method using a series of animation clips.

Digital Divide in Education Field of India – A Way to Eliminate

Education became highly technology-driven after this 2019 pandemic. This situation has widened new pathways in various dimensions in the life of every educators and learners. In today’s technology-driven world, teachers may no longer be the sole keepers of knowledge in the classroom else The chalkboard, books, homework, and teacher-classroom culture has shifted, making way for online classrooms and personalized way of learning to include customized learning. The use of simulations, models, graphic calculators, animation, 3D images, and video clips on smart screens bring to life the virtual classroom experience making it much more interactive and exciting. In spite of the government’s push towards a Digital India, there is a wide gap in Internet usage in urban and rural India. While Internet penetration in urban India is about 64.85 per cent, it’s just 20.26 per cent in rural areas.1The report done by Internet and Mobile Association of India (IAMAI) on the growth rate of internet and mobile users is critically low. It has been over a year since schools across the country were forced to shut in the wake of the corona virus pandemic. The pandemic has brought to fore the digital divide in the country and made education a privilege only a few can afford. This article is based on the review of available primary and secondary literature and authors have tried to understand the issues related to digital divide, the important role of media teachers to bridging the gap of digital divide among rural college going young students. Key words: Digital Divide, Rural, College Students, Literature Review.

3D Simulation Design of Ideal City

Abstract From static and single model display to dynamic and complex scenes such as 3d animation of real estate and hotel, 3D roaming, 3D virtual city and character animation, all of these can be realized by strong technical strength. This project uses 3D Max to complete the animation production of park landscape planning, venue greening, community greening and real estate landscape. Its effect is real, three-dimensional, vivid, traditional renderings can not be compared. At the same time, a unique modeling scheme is proposed. Then, with the help of AE and PR, the animation clips are combined into videos to comprehensively show the real estate through multiple angles, giving viewers an immersive feeling.

Website Redesign with Animation

To analyse the previous website which means the original website. Trying to make more attractive and interesting. Methods: Analyse the old website. A website redesign shouldn’t just change the overall look of your website. It should enhance the ways in which it functions. Find out what is working on the current website. Building the website design plan. Added strong visual features and elements. Findings: website overall feels outdated i.e., make it more attractive and add some animated clip. Applications: the study highlighted various issues, redesign a IBM company website and you’re going to see that with very small tweaks to the layout and composition and have a dramatic impact on the webs design. The first thing notice is I’m overwhelmed, right in terms of graphic design terms of hierarchies there are so many things here they just try to grab attention, there is a image, styling so that grab my attention so many things are competing for my attention that just overwhelmed so, this is not a good user experience. First thing that that we were thinking about even before trying to get into what we do they even do here on the website is how can we simplify what’s going on here how can we create very clear hierarchies. We were thinking about how we can simplify this visually. A lot of times there’s so many things we can do here such as illustration, 3D rendering of this, do custom photography there’s so many ways to approach this. We can present it in a very interesting way

Recovery of vivid 3D percepts from 125 years of historical motion film and animation clips

Recovery of vivid 3D percepts from 125 years of historical motion film and animation clips

Brief Report: Visuospatial and Spoken Language Recall in Autism: Preliminary Findings.

Challenges to verbal encoding may affect the ability of autistic individuals to express their ideas. Therefore, visuospatial expression may represent a person's knowledge and skills more accurately than spoken language. To test this hypothesis, we asked seven autistic adults to linguistically retell and visuospatially reenact several animated clips. On average, visuospatial responses contained more correct elements than spoken responses. The level of intention of the three stimulus categories did not systematically affect response accuracy. Participants who produced visuospatial responses before spoken responses and those who had watched a greater number of stimuli assigned higher intentionality to shapes in the animations that were designed to elicit mentalizing. The modality used for expression may affectaccuracy of responses by autistic individuals.

Normalized Alterity: Visualizing Black Spatial Humanities

This article aims to envision more just visual representations of Black spatial collectivity. In light of transformative work in critical cartography and recent turns to narrative cartography, digital mapping has arguably come to offer an opportunity for radical and democratized visualizations. However, the historical and contemporary anti-Blackness of mapping urges caution. Moreover, prominent critical cartographic urges to eschew normativity risk advancing diminished and distorted representations of historically Black communities. In turn, this article questions the extent to which visually countering the ongoing anti-Black work of dominant maps (e.g. erasure of Black communities) might avoid altogether appropriating the medium. Presented are animations created with audio clips from oral histories collected in rural Southern (US) communities. Created in collaboration with a professional animator, these brief animated clips do the work of countering historic erasure without reinforcing the hegemonic legibility of dominant cartographic productions.

Soundtrack loudness as a depth cue in stereoscopic 3D media

Assisted by the technological advances of the past decades, stereoscopic 3D cues are being integrated increasingly in both interactive and non-interactive media. Arguably, the main focus of this effort is placed on the creation of an increased sense of visual depth. Considering that human perception relies heavily on the audiovisual integration rather than on visual information alone, it is rather surprising that relatively little attention has been given so far to the potential effect of the soundtrack on 3D depth perception in contrast to the evident interest towards the study of realistic 3D audio spatialisation techniques and technologies. The multisensory nature of human perception suggests that the potential of sound design as a means to influence depth perception in the stereoscopic 3D visual environments may be worthy of further exploration. This study reports on our research into the possibilities of using alterations of the volume levels of the soundtrack in order to influence the perception of visual depth while viewing stereoscopic 3D animation clips. Based on previous findings indicating that the volume level of the soundtrack may be related to the perception of visual depth, a series of experiments further explored the effectiveness of this auditory cue. Results suggest that, under certain conditions, differences in volume levels of the soundtrack could influence the judgement of visual depth in a way that frequently contradicts real-life expectations. It is suggested that different, more metaphorical perceptual mechanisms may be in play when viewing stereoscopic 3D presentations than in real life. In this context, we conclude that stereoscopic 3D media can benefit from further exploration of the effectiveness of certain auditory cues as a means to influence the perception of depth within the stereoscopic 3D environment.

Geometric modeling of the parallel approach method in some transport problems

This article presents a quasidiscrete geometric model based on the problem of simple pursuit on a plane by the method of parallel approximation. Apollonius and the characteristic lines associated with it in this geometric model for a predetermined trajectory are in the optimal path of the pursuer. The geometric model is also used in solving some transport problems: visualization, construction of calculation grids, etc. Modeling was performed in the computer mathematics system MathCAD. Based on the simulation results, an animation clip was created, where you can view the movement and transformation of the Apollonius circle and associated characteristic points and lines.

CARL

Motion synthesis in a dynamic environment has been a long-standing problem for character animation. Methods using motion capture data tend to scale poorly in complex environments because of their larger capturing and labeling requirement. Physics-based controllers are effective in this regard, albeit less controllable. In this paper, we present CARL, a quadruped agent that can be controlled with high-level directives and react naturally to dynamic environments. Starting with an agent that can imitate individual animation clips, we use Generative Adversarial Networks to adapt high-level controls, such as speed and heading, to action distributions that correspond to the original animations. Further fine-tuning through the deep reinforcement learning enables the agent to recover from unseen external perturbations while producing smooth transitions. It then becomes straightforward to create autonomous agents in dynamic environments by adding navigation modules over the entire process. We evaluate our approach by measuring the agent's ability to follow user control and provide a visual analysis of the generated motion to show its effectiveness.

Unpaired motion style transfer from video to animation

Transferring the motion style from one animation clip to another, while preserving the motion content of the latter, has been a long-standing problem in character animation. Most existing data-driven approaches are supervised and rely on paired data, where motions with the same content are performed in different styles. In addition, these approaches are limited to transfer of styles that were seen during training. In this paper, we present a novel data-driven framework for motion style transfer, which learns from an unpaired collection of motions with style labels, and enables transferring motion styles not observed during training. Furthermore, our framework is able to extract motion styles directly from videos, bypassing 3D reconstruction, and apply them to the 3D input motion. Our style transfer network encodes motions into two latent codes, for content and for style, each of which plays a different role in the decoding (synthesis) process. While the content code is decoded into the output motion by several temporal convolutional layers, the style code modifies deep features via temporally invariant adaptive instance normalization (AdaIN). Moreover, while the content code is encoded from 3D joint rotations, we learn a common embedding for style from either 3D or 2D joint positions, enabling style extraction from videos. Our results are comparable to the state-of-the-art, despite not requiring paired training data, and outperform other methods when transferring previously unseen styles. To our knowledge, we are the first to demonstrate style transfer directly from videos to 3D animations - an ability which enables one to extend the set of style examples far beyond motions captured by MoCap systems.

Why is “John Ran to the House” the Same as “John Went to the House Running” in Arabic?

The study explores how Arabic has the same conflation pattern characteristics as English even though it belongs to Verb-framed Languages. A focused-group approach is used to evaluate the effect of the first language (L1) and the potential role of proficiency in the acquisition of the English directional preposition ‘to’ with manner-of-motion to goal construction. One group consists of Saudi speakers at two levels of development; an intermediate and advanced proficiency levels; whereas, the second group (control group) comprises of English native speakers. Acceptability Judgment Task associated with video animation clips is designed to elicit participants’ judgments in the depicted event. Results indicated that the intermediate Saudi speakers accept the directional preposition ‘to’ with and without boundary-crossing event, as is the case of their L1, which was opposite for the advanced and native English speakers for the without boundary-crossing event. The advanced Saudi speakers accept the constructions of encoding the manner with the motion and expressing the manner as the complement depicting an appropriate description of the event, reflecting L1 influence. All the group’s judgment varies based on the acceptance to conflate the manner with the motion overexpressing manner as a complement in an event without boundary-crossing.