[CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications

[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

Hypergraph Database.

[IROS 2024] DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving.

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

Multi-modal data generation for 3D objects.

PyTorch implementation for Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval (AAAI 2023)

[ICCV 2021] PyTorch implementation of "Universal Cross-Domain Retrieval: Generalizing across Classes and Domains"

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

[NeurIPS 2023] OV-PARTS: Towards Open-Vocabulary Part Segmentation

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Open-vocabulary Semantic Segmentation

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

Source code for ICLR 2024 "LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference"

Source code for IEEE TPAMI 2024 "Hypergraph-Based Multi-Modal Representation for Open-Set 3D Object Retrieval"

Source code of IEEE TPAMI 2024 "Hypergraph Isomorphism Computation"

Paper List for In-context Learning 🌷

LaTeX Thesis Template for Tsinghua University

Metric depth estimation from a single image

PyTorch implementations of Generative Adversarial Networks.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Surface Reflectance Fusion with Deep Generative Models

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Overlap-guided Gaussian Mixture Models for Point Cloud Registration

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration