Stars
[ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
[Arxiv2023] MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model
Dataset and benchmark for indoor monocular depth estimation with focus on indoor space types
[NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
A geometry-aware deep network for depth estimation in monocular endoscopy
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation (TCSVT2022)
[TMM2023] URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Monocular Depth Estimation Toolbox based on MMSegmentation.
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
ShuweiShao / EndoSLAM
Forked from CapsuleEndoscope/EndoSLAM[MedIA2021] EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
[IJCARS2022] A Multi-Scale Unsupervised Learning for Deformable Image Registratio
Implementation of our paper entitiled FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow published in TIM.
Implementation of Bottleneck Transformer in Pytorch