Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Spatially Aware World Action Model via Geometric Latent Diffusion
Javier Alejandro Lopetegui Gonzalez, Paul Pacaud, Cordelia Schmid
World Action Models (WAMs) leverage the capabilities of large-scale pretrained video diffusion models to jointly predict future observations and actions, inheriting rich visual and…
cs.CV2026
BrickNet: Graph-Backed Generative Brick Assembly
Peter Kulits, Cordelia Schmid
We train a language model to generate LEGO-brick build sequences. While prior work has been restricted to discrete, voxel-like towers, we consider a much broader set of pieces, enc…
cs.CV2026
HO-Flow: Generalizable Hand-Object Interaction Generation with Latent Flow Matching
Zerui Chen, Rolandos Alexandros Potamias, Shizhe Chen +3
Generating realistic 3D hand-object interactions (HOI) is a fundamental challenge in computer vision and robotics, requiring both temporal coherence and high-fidelity physical plau…