hkust-vgd/minimal_adversarial_pcd

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MIT License
Created about 3 years ago
Updated over 2 years ago

hkust-vgd/minimal_adversarial_pcd

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Minimal Adversarial Examples for Deep Learning on 3D Point Clouds (ICCV 2021)

scanobjectnn

Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019

lcd

[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching

pointwise

Code for Pointwise Convolutional Neural Networks, CVPR 2018

shellnet

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

scenenn

Supplemental code and scripts for the paper SceneNN: A Scene Meshes Dataset with aNNotations

riconv

Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

sese

A 3D scene mesh annotation tool

architectural_style_transfer

Code and data release for ICCP 2022 paper "Time-of-Day Neural Style Transfer for Architectural Photographs".

shrec17

Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track

MarineGPT

The official implementation of MarineGPT

RFNet-4D

Code release for ECCV 2022 paper "RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds"

ElasticReconstruction

Code for RGBD reconstruction. Modified from the code from http://redwood-data.org/indoor/pipeline.html

neural_scene_decoration

Code release for ECCV 2022 paper "Neural Scene Decoration from a Single Photograph"

Salt-Video

The labeling tool for dense video object segmentation

nerfstyle

Source code for the paper "Locally Stylized Neural Radiance Fields"

Marine_GPT-4V_Eval

The official repository of "Exploring Boundary of GPT-4V on Marine Analysis: A Preliminary Case Study".

shrec18

Supplementary code for SHREC 2018 RGB-D Object-to-CAD Retrieval track

hkust-vgd.github.io

CoralSCOP

The official repository of "CoralSCOP: Segment any COral Image on this Planet". CVPR 2024

TTA

marinevideokit

CamoVidDataset

The official repository of "A Large-Scale Video Dataset for Moving Camouflaged Animals Understanding"