ZuoDianSYSU

D-DPCC

The codes of D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction.

FFmpeg

Mirror of https://git.ffmpeg.org/ffmpeg.git

NeuralPCI

✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

learning3d_flownet3d

Add some function to flownet_test file, visualize scene flow and static_dym objects.

Grad-PU

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

CompressAI

A PyTorch library and evaluation platform for end-to-end compression research

layout-dm

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation [Inoue+, CVPR2023]

flownet3d

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

GeoTransformer

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

mpeg-pcc-tmc13

Geometry based point cloud compression (G-PCC) test model

PCGCv2

Multiscale Point Cloud Geometry Compression

IDEA-Net

sctn

PU-Dense

PU-Dense

pc_temporal_interpolation

Temporal Interpolation of Dynamic Point Clouds using Convolutional Neural Networks

OverlapPredator.Mink

flownet3d_pytorch

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

PointINet

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