Popular GitHub Repositories for Rgb

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

Frustum PointNets for 3D Object Detection from RGB-D Data

Roadmap to become a Visual-SLAM developer in 2023

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

CLIP + FFT/DWT/RGB = text to image/video

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

Real time semantic slam in ROS with a hand held RGB-D camera

Skeleton-based Action Recognition

Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

Estimate absolute 3D human poses from RGB images.

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

Generating RGB photos from RAW image files with PyNET (PyTorch)

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".