Automated generation of production-ready 3D garment assets from a single image is a central challenge in digital content creation. While recent generative models have significantly advanced 3D geometry reconstruction, synthesizing high-quality textures remains a bottleneck. Existing methods often bake environmental ill...
Di Huang, Yuan-Hao Wang, Cheng Zhang et al.· 0 citations
The correction turns simple temperature sampling into a practical diversity knob for pretrained diffusion and flow-matching backbones with no retraining, and consistent gains at minimal cost to sample quality and condition fidelity across DiT, Stable Diffusion and Motion Diffusion models are demonstrated.
Peizhuo Li, Emre Aksan, A. Ichim et al.· 0 citations
This work establishes a robust and versatile pipeline for the synthesis of controllable 3D hand-object interactions, built on a novel grasp energy term and shows that DCGrasp produces high-quality, physically plausible grasps with flexible user control.