text-to-3d

High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.

Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

Diffusion model papers, survey, and taxonomy

🌍 WorldGen - Generate Any 3D Scene in Seconds

CVPR 2024: Language Guided Generation of 3D Embodied AI Environments.

[CVPR 2023, Highlight] "NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang

List of recent advances for human avatars, including generation, reconstruction, and editing, etc.

[NeurIPS 2023] HeadSculpt: Crafting 3D Head Avatars with Text

A benchmark for AI-driven CAD generation and editing

MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR

A self-hosted cross-platform 3DAIGC software. Working with 3DAIGC algorithms completely deployed locally. Supported 3D workflows include MeshGen, Mesh Retopology, UV Unwrapping, TexGen, MeshSeg, AutoRig, Mesh Editing etc.

[ECCV2024] ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation

[CVPR 2024] "Taming Mode Collapse in Score Distillation for Text-to-3D Generation" by Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

Official code for CVPR2024 paper "text-guided 3d face synthesis - from generation to editing"

YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting [CVPPA: ICCVW 2025]

From Geometry to Texture: A Hierarchical Framework for Efficient Text-to-3D Generation

ORLA is a web application that transforms text prompts into detailed 3D models using advanced AI technologies. With an intuitive interface and powerful backend, ORLA enables users to generate high-quality 3D assets quickly and easily.