2 papers
cs.LG2026
Momentum-Conserving Graph Neural Networks for Deformable Objects
Jiahong Wang, Logan Numerow, Stelian Coros +3
Graph neural networks (GNNs) have emerged as a versatile and efficient option for modeling the dynamic behavior of deformable materials. While GNNs generalize readily to arbitrary…
cs.GR2025
IntrinsicEdit: Precise generative image manipulation in intrinsic space
Linjie Lyu, Valentin Deschaintre, Yannick Hold-Geoffroy +5
Generative diffusion models have advanced image editing with high-quality results and intuitive interfaces such as prompts and semantic drawing. However, these interfaces lack prec…