[SIGGRAPH'24] CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization

Generate large-scale explorable 3D scenes with high-quality panorama videos from a single image or text prompt.

[AAAI 2026 Oral] LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences

[CVPR 2026] WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World

code release for HouseCrafter (ICCV 2025 Highlight)

Official PyTorch implementation of SIGMAN

A curated list of awesome 3D generation resources, papers, and tools for AI-powered 3D content creation.

[NeurIPS 2025] SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation and Understanding

Code of MCMat: Multiview-Consistent and Physically Accurate PBR Material Generation;

Similar to the 2D Base Model, 3D Base Model is a bridge between images and 3D data.

[CVPR 2026] U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences

🌐 A curated evaluation toolkit and benchmark for state-of-the-art 3D and 4D world models

This is a spot the defference game

This is a spot the defference game