Stars
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A unified framework for 3D content generation.
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Generate 3D objects conditioned on text or images
[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
A latent text-to-image diffusion model