donkeymouse

donkeymouse's Stars

• firestereo/FIReStereo

  Language:Python6

• dhchung/pohang_canal_dataset

  Additional descriptions about the Pohang Canal Dataset

  20

• FanglinBao/HADAR

  This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. One can also develop algorithms about object detection, semantic or scene segmentation, optical or scene flow, stereo depth etc. based on TeX vision instead of traditional RGB or thermal vision.

  Language:Python16926

• RobotiXX/M2P2

  Language:Python6

• liufangcen/InfMAE

  A foundation model in the infrared modality

  Language:Python91

• jeongyun0609/TranSplat

  11

• fangyuanmao/PID

  Code for PID: Physics-Informed Diffusion Model for Infrared Image Generation

  Language:Python535

• apisdn/TRI2I

  TIR/RGB Image to Image Translation: Dataset and Results

  Language:Python2

• YvanYin/Metric3D

  The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

  Language:Python1.4k106

• HyeonJaeGil/fieldscale

  [RA-L 2024] Fieldscale: Locality-Aware Field-based Adaptive Rescaling for Thermal Infrared Image

  Language:Python29

• tkrahn108/UIQM

  Language:C++198

• aerorobotics/caltech-aerial-rgbt-dataset

  Language:Python36

• sparolab/Joint_ID

  Joint-ID: Transformer-based Joint Image Enhancement and Depth Estimation for Underwater Environments

  Language:Python16

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.5k5.6k

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.3k1.2k

• IcarusWizard/MAE

  PyTorch implementation of Masked Autoencoder

  Language:Python23146

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.1k1.4k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.6k9.5k

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.3k767

• Alpha-VL/ConvMAE

  ConvMAE: Masked Convolution Meets Masked Autoencoders

  Language:Python48341

• steevo87/thermalvis

  Cross-platform, OpenCV-based functionality for image processing and computer vision in thermal-infrared

  Language:C++12463

• chenjzBUAA/TBRSD

  [ICCV 2023] Official implementation of the paper "Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSD"

  Language:Python3

• xhwdlgy5201/SuperThermal-thermal-matching

  An unofficial PyTorch implementation of SuperThermal: Matching Thermal as Visible Through Thermal Feature Exploration

  Language:Python122

• UkcheolShin/MS2-MultiSpectralStereoDataset

  This is the official GitHub page of the Multi-Spectral Stereo (MS2) dataset described in CVPR 2023 paper.

  Language:Python574

• UkcheolShin/SelfDepth4Thermal

  9

• whitecrow1027/VIS-TIR-Datasets

  A visible-light and thermal-infrared images datasets for dual-spectrum depth estimation

  17

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.9k558

• UkcheolShin/CRM_RGBTSeg

  Official implementation of the paper "Complementary Random Masking for RGB-T Semantic Segmentation."

  Language:Python5211

• princeton-vl/DROID-SLAM

  Language:Python1.8k300

• donkeymouse/TODS

  1