YunxuanMao

DenseMatching

Dense matching library based on PyTorch

FlowDiffuser

PyTorch implementation of FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models (CVPR-2024)

SDFFlow

official implementation for our paper SDFFlow

gaussian-opacity-fields

Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes

NeUDF

The code for "NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering (CVPR 2023)"

stereo_vision_starter

Introduction to Stereo Vision

Instant-NSR

Pytorch implementation of fast surface resconstructor

Instant-angelo

Instant-angelo: Build high-fidelity Digital Twin within 20 Minutes!

NeO-360

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

SparseNeuS

SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse views

nerf_and_beyond_docs

zipnerf-pytorch

Unofficial implementation of ZipNeRF

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

ORB_SLAM3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

semantic_nerf

The implementation of "In-Place Scene Labelling and Understanding with Implicit Scene Representation" [ICCV 2021].

awesome-NeRF

A curated list of awesome neural radiance fields papers

kaolin-wisp

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

go-surf

[3DV 2022] GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface Reconstruction

ObjectDatasetTools

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

Rofunc

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

awesome-bimanual-manipulation

Robot bimanual manipulation / dual-arm manipulation

DC3

DC3: A Learning Method for Optimization with Hard Constraints

diffusion-point-cloud

:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

DeepSDF

Learning Continuous Signed Distance Functions for Shape Representation

A-SDF

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)

where2act

Where2Act: From Pixels to Actions for Articulated 3D Objects

chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

GCRL-Collection

This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmark environments and conclude a series of research works for goal-conditioned reinforcement learning (GCRL).