3d content creation 1flow matching 1generative models 1mesh transformer 1seam generation 1uv mapping 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
SeamGen: Artist-Aligned UV Seam Generation via Graph Flow Matching
Hao Xu, Yuqing Zhang, Yiqian Wu +5
The paper introduces SeamGen, a generative model that learns artist-preferred UV seam layouts from existing data using flow‑matching and a mesh‑aware Transformer, enabling controll…
cs.CV2026
Delta-K: Boosting Multi-Instance Generation via Cross-Attention Augmentation
Zitong Wang, Zijun Shen, Haohao Xu +2
While Diffusion Models excel in text-to-image synthesis, they often suffer from concept omission when synthesizing complex multi-instance scenes. Existing training-free methods att…
cs.CV2025
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion
Yunhan Yang, Yufan Zhou, Yuan-Chen Guo +7
The creation of 3D assets with explicit, editable part structures is crucial for advancing interactive applications, yet most generative methods produce only monolithic shapes, lim…