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Pytorch implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (Mildenhall et al., ECCV 2020 Oral, Best Paper Honorable Mention).
A web-based 3D visualization tool for 3D computer vision.
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
[NeurIPS 2021], self-supervised 6D pose on category level
Algorithms and Publications on 3D Object Tracking
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
rendering (optionally temporal) point clouds using Mitsuba2
Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
ICCV2021 Paper: AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
A curated list of awesome neural radiance fields papers
An official implementation of the paper, Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images
HybridPose: 6D Object Pose Estimation under Hybrid Representation (CVPR 2020)
Original implementation of the paper "Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation", in ICCV 2019, https://arxiv.org/abs/1908.07433
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
A wizard's guide to Adversarial Autoencoders
This repository is a curated list of papers and open source code for 6D Object Pose Estimation.
Convert CAJ (China Academic Journals) files to PDF. 转换中国知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。