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.

[CVPR 2024] DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement

Official implementation of ``Improving Depth Completion via Depth Feature Upsampling'', CVPR 2024.

Point Mamba

Code for paper LocalMamba: Visual State Space Model with Windowed Selective Scan

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory wh…

[NeurIPS 2024] DiffSF: Diffusion Models for Scene Flow Estimation

Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.

[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion

[Information Fusion 2024] SparseDC: Depth Completion From Sparse and Non-uniform Inputs

[ICLR 2023] S-NeRF: Neural Radiance Fields for Street Views

A collaboration friendly studio for NeRFs

The devkit of the nuScenes dataset.

Extract synched depth maps and RGB images from NYU-V2 Raw Dataset.

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

Noise-Aware Unsupervised Deep Lidar-Stereo Fusion (CVPR 2019)

pytorch memory track code

WeXposed （微X模块）

Anomaly detection related books, papers, videos, and toolboxes

Self-supervised method for scene-flow estimation of LiDAR point clouds. Method is trained and tested on the nuScenes and KITTI datasets in TensorFlow. (CVPR 2020)

Source code of our paper: PointINet: Point Cloud Frame Interpolation Network

Implemented Semi Supervised Learning with Logistic Regression

PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.

风景数据集，包括7268张320x180大小的风景照片

A clean and readable Pytorch implementation of CycleGAN

An implementation of CycleGan using TensorFlow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

ChipGAN for Chinese Ink Wash Painting Style Transfer