[AAAI 25] Official Implementation for ”E-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment“

[ECCV 2024 Best Paper Candidate] PointLLM: Empowering Large Language Models to Understand Point Clouds

Implemetation of ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

[Arxiv 2022] This is the official implementation of 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

[IJCAI 2024] Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes

Point Mamba

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

Convert any Triangle Mesh to Watertight Manifold

(ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.

SECOND for KITTI/NuScenes object detection

R-PCC: A Baseline for Range Image-based Point Cloud Compression

[ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors

[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis

A list of papers about deep point cloud compression.

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

A shift-window based transformer for 3D sparse tasks

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

OctFormer: Octree-based Transformers for 3D Point Clouds

DEEP GEOMETRY POST-PROCESSING FOR DECOMPRESSED POINT CLOUDS (ICME2022 oral)

[SIGGRAPH Asia'22] The codes of 3QNet: 3D Point Cloud Geometry Quantization Compression Network

Adaptive Deep Learning-based Point Cloud Coding

PccAI is a framework for AI-based point cloud compression

Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

Official implementation of the Point Transformer-in-Transformer: https://arxiv.org/abs/2204.03957