4 citations · 6 across the 4 of their papers we have counts for
4 papers
Gen3R: 3D Scene Generation Meets Feed-Forward Reconstruction
Jiaxin Huang, Yuanbo Yang, Bangbang Yang +3
We present Gen3R, a method that bridges the strong priors of foundational reconstruction models and video diffusion models for scene-level 3D generation. We repurpose the VGGT reco…
ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxies
Jinyan Yuan, Bangbang Yang, Keke Wang +6
Automating immersive VR scene creation remains a primary research challenge. Existing methods typically rely on complex geometry with post-simplification, resulting in inefficient…
Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning
Wenqi Dong, Bangbang Yang, Lin Ma +5
As humans, we aspire to create media content that is both freely willed and readily controlled. Thanks to the prominent development of generative techniques, we now can easily util…
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
Bangbang Yang, Wenqi Dong, Lin Ma +4
Diffusion-based methods have achieved prominent success in generating 2D media. However, accomplishing similar proficiencies for scene-level mesh texturing in 3D spatial applicatio…