Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
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Updated
Dec 10, 2023 - Python
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
Implementations of NeRF variants based on Taichi + PyTorch
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
A minimal PyTorch implementation of text-to-3D models, e.g., DreamFusion and Magic3D, based on NerfAcc
[ICCV 2025] Repo for Objaverse++, Curated 3D Object Dataset with Quality Annotations
[ECCV2024] ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation
From Geometry to Texture: A Hierarchical Framework for Efficient Text-to-3D Generation
Chirpy3D: Part-Aware Multi-View Diffusion for Creative Fine-Grained Object Generation
[IJCAI 2025] Optimized View and Geometry Distillation from Multi-view Diffuser
[ICCV 2025] Identity Preserving 3D Head Stylization with Multiview Score Distillation
A text guided 3D model generation model & application. An implemntation of DreamFusion approach with UIs.
2D Score Distillation Sampling (SDS) and Posterior Distillation Sampling (PDS) for text-to-image generation and editing
Text/image to 3D mesh pipeline built on threestudio — Stable Diffusion guidance, DreamFusion + NeRF representation, SDS optimisation, mesh export. Tuned for 6 GB VRAM.
Text-to-3D from scratch: NeRF optimized via Score Distillation Sampling from Stable Diffusion, with marching-cubes mesh extraction (PyTorch).
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