Taekbum

NARUTO

[CVPR2024] NARUTO: Neural Active Reconstruction

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

Posterior-Network

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

ChatGPT-Robot-Manipulation-Prompts

Deformable-3D-Gaussians

[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"

stereo_pothole_datasets

Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)

activeINR

[ICCV 2023] Active Neural Mapping

sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

self-corr-pose

Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild, ICLR 2023

vMAP

[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM

rpg_esim

ESIM: an Open Event Camera Simulator

ShapenetRender_more_variation

A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.

stanford-shapenet-renderer

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

IMT_Mapping

[RAL 2022] SE(3)-Transformation on Neural Implicit Maps for Remapping Functions (NIM Remapping = NIM-REM)

3D-Shape-Analysis-Paper-List

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

svox2

Plenoxels: Radiance Fields without Neural Networks

dispflownet-tf

Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16 + pretrained weights + implementation of "Unsupervised Adaptation for Deep Stereo" (ICCV 2017)

depth_segmentation

A collection of segmentation methods working on depth images

DISN

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

Rotated_IoU

Differentiable IoU of rotated bounding boxes using Pytorch

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

voxblox-plusplus

A volumetric object-level semantic mapping framework.

Kimera-Semantics

Real-Time 3D Semantic Reconstruction from 2D data

waymo-open-dataset

Waymo Open Dataset

DSP-SLAM

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

LIGA-Stereo

Code for LIGA-Stereo Detector, ICCV'21

koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

mmcv

OpenMMLab Computer Vision Foundation