output
20132026
most citedDifferentiable Surface Splatting for Point-based Geometry Processing

261 citations

24 papers

cs.RO2026

ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting

David Müller, Agon Serifi, Sammy Christen +3

Retargeting human kinematic reference motion onto a robot's morphology remains a formidable challenge. Existing methods often produce physical inconsistencies, such as foot sliding…

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…

cs.CV2025★ 3 cited

Spline Deformation Field

Mingyang Song, Yang Zhang, Marko Mihajlovic +3

Trajectory modeling of dense points usually employs implicit deformation fields, represented as neural networks that map coordinates to relate canonical spatial positions to tempor…

cs.RO2025★ 3 cited

AMOR: Adaptive Character Control through Multi-Objective Reinforcement Learning

Lucas N. Alegre, Agon Serifi, Ruben Grandia +3

Reinforcement learning (RL) has significantly advanced the control of physics-based and robotic characters that track kinematic reference motion. However, methods typically rely on…

cs.LG2025

Spline-based Transformers

Prashanth Chandran, Agon Serifi, Markus Gross +1

We introduce Spline-based Transformers, a novel class of Transformer models that eliminate the need for positional encoding. Inspired by workflows using splines in computer animati…

cs.CV2024★ 5 cited

Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion

Manuel Kansy, Jacek Naruniec, Christopher Schroers +2

Recent years have seen a tremendous improvement in the quality of video generation and editing approaches. While several techniques focus on editing appearance, few address motion.…