Stars
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
[ECCV 2024] Towards Stable 3D Object Detection
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io
[NeurIPS 2024] A Generalizable World Model for Autonomous Driving
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
[RAL & IROS 2022] Lidar With Velocity: Correcting Moving Objects Point Cloud Distortion From Oscillating Scanning Lidars by Fusion With Camera
The implementation of the paper: DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching
[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
Lifted Multicut Optimization for Multi-Camera Multi-People Tracking
web-based visualization libraries
🚗 The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)
Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data
A web-based 3D visualization tool for 3D computer vision.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
A curated list of awesome neural radiance fields papers
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
Pytorch implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (Mildenhall et al., ECCV 2020 Oral, Best Paper Honorable Mention).
Image-to-Image Translation in PyTorch
[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)
A framework for annotating 3D meshes using the predictions of a 2D semantic segmentation model.
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
RIO - EKF-based Radar Inertial Odometry using 4D mmWave radar sensors