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3d-dat

3D Scene Annotation and Dataset Toolkit

3d-llm

Code for 3D-LLM: Injecting the 3D World into Large Language Models

3d-point-capsule-networks

3D Point Capsule Networks

3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3d-registration-with-maximal-cliques

Source code of CVPR 2023 paper

3d_annotation_tool

3d_ground_segmentation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

3d_object_reconstruction

3D object reconstruction with multi-view RGB-D images.

3dfeatnet

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

3dgs_notes

Code Notes (in Chinese) for 3D Gaussian Splatting

3dioumatch

[CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

3dshapegen

Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

6d-clgrasp

[TII 2023] Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation

6d-pat

6D - Pose Annotation Tool (6D-PAT) - is a tool that allows the user to load a set of images and also a set of 3D models and annotate where in the 2D image the 3D object ist placed.

6d_rot_tensorflow

6D rotation representation ("On the Continuity of Rotation Representations in Neural Networks") for tensorflow

6dapose

6D Assembly Pose Estimation by Point Cloud Registration for Robot Manipulation

6dposeannotator

An interactive 6 degree-of-freedom (DoF) pose annotation tool using point cloud processings.

a-loam

Advanced implementation of LOAM

a-sdf

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)

a1_slam

A1 SLAM: Quadruped SLAM using the A1's onboard sensors

a2j

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

ace

[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses

acon

Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]

acsc

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

adamp

Slowing Down the Weight Norm Increase in Momentum-based Optimizers

adelaidepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

aetta

This is the PyTorch Implementation of "AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation (CVPR '24)" by Taeckyung Lee, Sorn Chottananurak, Taesik Gong, and Sung-Ju Lee.

affordpose

AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose (ICCV 2023)

alpha-iou

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

alphaclip

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want