dreamfusion

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)

Implementations of NeRF variants based on Taichi + PyTorch

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

A minimal PyTorch implementation of text-to-3D models, e.g., DreamFusion and Magic3D, based on NerfAcc

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: Continuous Part Latents for Creative 3D Bird 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.

Dream is a collaborative platform that helps users explore and share their creative visions. It offers tools for brainstorming, visual storytelling, and community feedback, making idea development easier and more engaging.