258 citations · 703 across the 8 of their papers we have counts for
11 papers
Implicit Neural Representation for Physics-driven Actuated Soft Bodies
Lingchen Yang, Byungsoo Kim, Gaspard Zoss +3
Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation. Similar to recent work, this paper utilizes a differentiable, quasi-st…
DuctTake: Spatiotemporal Video Compositing
Jan Rueegg, Oliver Wang, Aljoscha Smolic +1
DuctTake is a system designed to enable practical compositing of multiple takes of a scene into a single video. Current industry solutions are based around object segmentation, a h…
Lagrangian Neural Style Transfer for Fluids
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross +1
Artistically controlling the shape, motion and appearance of fluid simulations pose major challenges in visual effects production. In this paper, we present a neural style transfer…
Data-Driven Physical Face Inversion
Yeara Kozlov, Hongyi Xu, Moritz Bächer +3
Facial animation is one of the most challenging problems in computer graphics, and it is often solved using linear heuristics like blend-shape rigging. More expressive approaches l…
Transport-Based Neural Style Transfer for Smoke Simulations
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross +1
Artistically controlling fluids has always been a challenging task. Optimization techniques rely on approximating simulation states towards target velocity or density field configu…
Generating Animations from Screenplays
Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber +3
Automatically generating animation from natural language text finds application in a number of areas e.g. movie script writing, instructional videos, and public safety. However, tr…