3d-reconstruction

Instant neural graphics primitives: lightning fast NeRF and more

Node-based Visual Programming Toolbox

A collaboration friendly studio for NeRFs

A resource repository for 3D machine learning

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

🌍 WorldGen - Generate Any 3D Scene in Seconds

Official code for NeurIPS 2024 paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data

[3DV 2026] Reflect3r: Single-View 3D Stereo Reconstruction Aided by Mirror Reflections

NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

[ICCV 2025] Repo for Objaverse++, Curated 3D Object Dataset with Quality Annotations

AI based all-in-one character generator Blender plug-in. This project contains unofficial updates for the CEB_ECON Blender add-on.

EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory

SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models

🔥 (SIGGRAPH 2026) 3D-aware hairstyle transfer for images: in-context bald conversion, pose-aligned hair import, and identity-preserving synthesis.

Omega-Forge: unofficial code to finetune or train VGGT-Omega (VGGT-Ω) on your own dataset, for use while official training code is not yet available. Additionally includes a standalone zero-GPU 3D reconstruction visualizer.