3D Generation from Images & Diffusion Models
1 repo
This cluster focuses on techniques for generating 3D models and scenes from 2D images using diffusion models and neural generative approaches. The repositories explore image-to-3D conversion, 3D scene generation, and related diffusion-based synthesis methods, with significant work around the Hunyuan3D framework and its variants. Someone exploring this area would find implementations of generative models for 3D reconstruction, multi-view synthesis, and practical tools for converting visual input into 3D representations.
TypeScript · 1
