5 papers · 1 filter
Align-VAE: Aligning Attention and Geometry in VecSet VAEs for 3D Reconstruction
Huaizhi Qu, Mingxin Yang, Xintong Han +2
Set-based variational autoencoders (VecSet VAEs) represent 3D shapes as compact sets of latent tokens. Although each token originates from a query at a sampled surface location, wh…
Flow3D-OPD: Multi-Teacher On-Policy Distillation for 3D Geometry Generation with Flow-Matching Diffusion Transformer
Zhiwei Ning, Zhen Zhou, Puhua Jiang +7
Recent image-to-3D generation models built on flow-matching diffusion Transformers (DiT) can produce high-fidelity meshes, yet their post-training strategy remains largely unexplor…
ROAR-3D: Routing Arbitrary Views for High-Fidelity 3D Generation
Hanxiao Sun, Mingxin Yang, Shuhui Yang +5
Single-image-to-3D generative models can now produce high-quality geometry, yet conditioning on a single view inevitably introduces ambiguity about unseen regions. Multi-view condi…
Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence
Zebin He, Mingxin Yang, Shuhui Yang +4
Existing 3D foundation models typically align point clouds to frozen vision-language spaces like CLIP, which achieve strong cross-modal retrieval by compressing 3D shape into a glo…
MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis
Di Luo, Shuhui Yang, Mingxin Yang +6
Physically-based rendering (PBR) materials are fundamental to photorealistic graphics, yet their creation remains labor-intensive and requires specialized expertise. While generati…