Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
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Updated
Oct 29, 2023 - Python
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
Code for our CVPR 2020 (ORAL) paper - TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style.
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)
🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)
🔥AttSets in Tensorflow (IJCV 2019)
🔥DM-NeRF in PyTorch (ICLR 2023)
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.
SAPIEN Manipulation Skill Benchmark (NeurIPS 2021 Track on Datasets and Benchmarks)
[ECCV 2022] RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
Course at University of Wroclaw - full 3D reconstruction from images pipeline
WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
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