Papers
1–4 of 4MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation
Recent unified 3D generation models have made remarkable progress in producing high-quality 3D assets from a single image. Notably, layout-aware approaches such as SAM3D can reconstruct multiple objec...
RelaxFlow: Text-Driven Amodal 3D Generation
Image-to-3D generation faces inherent semantic ambiguity under occlusion, where partial observation alone is often insufficient to determine object category. In this work, we formalize text-driven amo...
Cog2Gen3D: Sculpturing 3D Semantic-Geometric Cognition for 3D Generation
Generative models have achieved success in producing semantically plausible 2D images, but it remains challenging in 3D generation due to the absence of spatial geometry constraints. Typically, existi...
Hoi3DGen: Generating High-Quality Human-Object-Interactions in 3D
Modeling and generating 3D human-object interactions from text is crucial for applications in AR, XR, and gaming. Existing approaches often rely on score distillation from text-to-image models, but th...