Garment Particles is a 5D point cloud representation jointly encoding 2D sewing patterns and 3D geometry, supporting rectified flow generation from high-level inputs and diffusion-based editing of patterns or shapes.
ACM Transactions on Graphics , volume = 41, number = 4, pages =
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A latent diffusion model over continuous implicit neural representations samples INR parameters from sparse keyframes to reconstruct plausible, smooth, and diverse motions while preserving keyframe accuracy.
HALO learns latent reduced-order models with Poincaré maps for hybrid locomotion dynamics, allowing Lyapunov-based regions of attraction to be lifted from latent space to the full-order system.
MultiMat shows multimodal large models plus constrained search produce higher-quality procedural material graphs than text-only baselines on a new production dataset.
AnySurf generates open, closed and hybrid 3D surfaces with accurate normals via directed-edge enhanced FDG-D, a lightweight DE-Adapter, ROS-FT post-training, and the Outfit3D dataset.
Proposes a Koopman-surrogate framework that turns cyclic animation synthesis into a structured quadratic program solved via KKT system under temporal periodicity.
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