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Makethink
- London
3d
A unified framework for 3D content generation.
[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
A growing curation of Text-to-3D, Diffusion-to-3D works.
Implementation of "Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision"
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds
[ICLR'25] Official Implementation for Consistent Flow Distillation for Text-to-3D Generation
An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)