PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers

The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (ICCV 2019)

The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (ECCV 2020)

3D object reconstruction with multi-view RGB-D images.

[CVPR 2024] This repo is official PyTorch implementation of Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer.

Official implementation of the paper " FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything "

Python scripts for performing 6D pose estimation and shape reconstruction using the CenterSnap model in ONNX

Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images (ICCV 2021)

Code and datasets for TPAMI 2021 "SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images "

SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion (ACCV 2020)

Progressive Growing of Points with Tree-structured Generators (BMVC 2021)

PartCrafter offers a method for generating structured 3D meshes using compositional latent diffusion transformers. Explore the official implementation and contribute to the project! 🛠️🌐

(A failed) Attempt at 3D object reconstruction with a spinning platform powered by a step motor and a VL53L1X Time-of-Flight distance sensor.

Multi-View Environment