Suchergebnisse - "Computing methodologies Computer graphics Animation"

ADAPT: AI‐Driven Artefact Purging Technique for IMU Based Motion Capture von Schreiner, P., Netterstrøm, R., Yin, H., Darkner, S., Erleben, K.

“… While IMU based motion capture offers a cost‐effective alternative to premium camera‐based systems, it often falls short in matching the latter's realism …”
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VMP: Versatile Motion Priors for Robustly Tracking Motion on Physical Characters von Serifi, Agon, Grandia, Ruben, Knoop, Espen, Gross, Markus, Bächer, Moritz

“… Recent progress in physics‐based character control has made it possible to learn policies from unstructured motion data. However, it remains challenging to …”
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Reactive Gaze during Locomotion in Natural Environments von Melgare, J. K., Rohmer, D., Musse, S. R., Cani, M‐P.

“… Animating gaze behavior is crucial for creating believable virtual characters, providing insights into their perception and interaction with the environment …”
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ALLSTEPS: Curriculum‐driven Learning of Stepping Stone Skills von Xie, Zhaoming, Ling, Hung Yu, Kim, Nam Hee, Panne, Michiel

“… Humans are highly adept at walking in environments with foot placement constraints, including stepping‐stone scenarios where footstep locations are fully …”
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Fully Convolutional Graph Neural Networks for Parametric Virtual Try‐On von Vidaurre, Raquel, Santesteban, Igor, Garces, Elena, Casas, Dan

“… We present a learning‐based approach for virtual try‐on applications based on a fully convolutional graph neural network. In contrast to existing data‐driven …”
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Linear Time Stable PD Controllers for Physics‐based Character Animation von Yin, Zhiqi, Yin, KangKang

“… In physics‐based character animation, Proportional‐Derivative (PD) controllers are commonly used for tracking reference motions in motor control tasks. Stable …”
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Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision von Zhu, Yuhao, Samajdar, Anand, Mattina, Matthew, Whatmough, Paul

“… Continuous computer vision (CV) tasks increasingly rely on convolutional neural networks (CNN). However, CNNs have massive compute demands that far exceed the …”
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Long‐term Motion In‐betweening via Keyframe Prediction von Hong, Seokhyeon, Kim, Haemin, Cho, Kyungmin, Noh, Junyong

“… Motion in‐betweening has emerged as a promising approach to enhance the efficiency of motion creation due to its flexibility and time performance. However, …”
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Distant Collision Response in Rigid Body Simulations von Coevoet, E., Andrews, S., Relles, D., Kry, P.G.

“… We use a finite element model to predict the vibration response of objects in a rigid body simulation, such that rigid objects are augmented to provide a …”
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A Pixel‐Based Framework for Data‐Driven Clothing von Jin, N., Zhu, Y., Geng, Z., Fedkiw, R.

“… We propose a novel approach to learning cloth deformation as a function of body pose, recasting the graph‐like triangle mesh data structure into image‐based …”
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Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow von Wiewel, S., Kim, B., Azevedo, V. C., Solenthaler, B., Thuerey, N.

“… We propose an end‐to‐end trained neural network architecture to robustly predict the complex dynamics of fluid flows with high temporal stability. We focus on …”
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Robust and Artefact‐Free Deformable Contact with Smooth Surface Representations von Du, Y., Li, Y., Coros, S., Thomaszewski, B.

“… Modeling contact between deformable solids is a fundamental problem in computer animation, mechanical design, and robotics. Existing methods based on C 0 …”
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Diffusion‐based Human Motion Style Transfer with Semantic Guidance von Hu, Lei, Zhang, Zihao, Ye, Yongjing, Xu, Yiwen, Xia, Shihong

“… 3D Human motion style transfer is a fundamental problem in computer graphic and animation processing. Existing AdaIN‐based methods necessitate datasets with …”
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Curved Three‐Director Cosserat Shells with Strong Coupling von Löschner, F., Fernández‐Fernández, J. A., Jeske, S. R., Bender, J.

“… Continuum‐based shell models are an established approach for the simulation of thin deformables in computer graphics. However, existing research in …”
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Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model von Ghorbani, S., Wloka, C., Etemad, A., Brubaker, M. A., Troje, N. F.

“… We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while …”
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Multiphase Viscoelastic Non‐Newtonian Fluid Simulation von Zhang, Y., Long, S., Xu, Y., Wang, X., Yao, C., Kosinka, J., Frey, S., Telea, A., Ban, X.

“… We propose an SPH‐based method for simulating viscoelastic non‐Newtonian fluids within a multiphase framework. For this, we use mixture models to handle …”
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Pose‐to‐Motion: Cross‐Domain Motion Retargeting with Pose Prior von Zhao, Qingqing, Li, Peizhuo, Yifan, Wang, Olga, Sorkine‐Hornung, Wetzstein, Gordon

“… Creating plausible motions for a diverse range of characters is a long‐standing goal in computer graphics. Current learning‐based motion synthesis methods rely …”
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Strongly Coupled Simulation of Magnetic Rigid Bodies von Westhofen, L., Fernández‐Fernández, J. A., Jeske, S. R., Bender, J.

“… We present a strongly coupled method for the robust simulation of linear magnetic rigid bodies. Our approach describes the magnetic effects as part of an …”
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SketchAnim: Real‐time sketch animation transfer from videos von Rai, Gaurav, Gupta, Shreyas, Sharma, Ojaswa

“… Animation of hand‐drawn sketches is an adorable art. It allows the animator to generate animations with expressive freedom and requires significant expertise …”
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PartwiseMPC: Interactive Control of Contact‐Guided Motions von Khoshsiyar, N., Gou, R., Zhou, T., Andrews, S., van de Panne, M.

“… Physics‐based character motions remain difficult to create and control. We make two contributions towards simpler specification and faster generation of …”
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