diffusion models 1human motion capture 1motion retargeting 1puppeteering 1quadruped animation 1virtual production 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.GR2026
Interactive Generative Motion Editing via Scheduled Inpainting
Dhruv Agrawal, Dominik Borer, Luca Vögeli +3
Motion editing is central to VFX and game development, where it is used extensively to modify and augment existing movements to conform to new environments or changes in artistic d…
cs.GR2026
Two2Four: Generative Quadruped Puppeteering from Human Motion
Fatemeh Zargarbashi, Zehong Qiu, Dhruv Agrawal +4
The paper introduces a two-stage generative diffusion framework that automatically converts ordinary human motion into realistic, controllable quadruped animations for virtual prod…
cs.CV2026
VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations
Fatemeh Zargarbashi, Dhruv Agrawal, Jakob Buhmann +3
Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effect…