Alternatives and similar repositories for IndoorDepth:

Users that are interested in IndoorDepth are comparing it to the libraries listed below

• xingyuuchen / tri-depth
  [WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
  ☆84Updated last year
• danishnazir / SemAttNet
  Official Repository of "SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion"
  ☆64Updated 2 years ago
• cnexah / VA-DepthNet
  VA-DepthNet: A Variational Approach to Single Image Depth Prediction
  ☆114Updated last year
• ruili3 / dynamic-multiframe-depth
  [CVPR 2023] Multi-frame depth estimation in dynamic scenes. -- Li, Rui, et al. "Learning to Fuse Monocular and Multi-view Cues for Multi-…
  ☆130Updated last year
• zxcqlf / GasMono
  Code for GasMono, accepted by ICCV 2023
  ☆40Updated last year
• ShuweiShao / IEBins
  [NeurIPS2023] IEBins: Iterative Elastic Bins for Monocular Depth Estimation
  ☆86Updated 3 months ago
• youmi-zym / TemporalStereo
  [IROS 2023] TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network
  ☆66Updated last year
• ztsrxh / DVANet
  The official implementation of Depth-aware Volume Attention (DVANet) for stereo matching
  ☆29Updated last year
• MiaoJieF / MC-Stereo
  ☆31Updated 7 months ago
• YufeiWang777 / DFU
  Official implementation of ``Improving Depth Completion via Depth Feature Upsampling'', CVPR 2024.
  ☆37Updated 10 months ago
• sjg02122 / MonoFormer
  ☆33Updated 2 months ago
• sshan-zhao / ACMNet
  Adaptive Context-Aware Multi-Modal Network for Depth Completion
  ☆67Updated 3 years ago
• youmi-zym / CompletionFormer
  [CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers
  ☆259Updated last year
• aeolusguan / NMRF
  [CVPR 2024] Neural Markov Random Field for Stereo Matching
  ☆135Updated last month
• hisfog / SfMNeXt-Impl
  [AAAI 2024] Official implementation of "SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation", and more.
  ☆94Updated last year
• zxcqlf / MonoViT
  Self-supervised monocular depth estimation with a vision transformer
  ☆177Updated 2 years ago
• sejong-rcv / TransDSSL
  [RA-L with ICRA2023] TransDSSL: Transformer based Depth Estimation via Self-Supervised Learning
  ☆11Updated 2 years ago
• David-Zhao-1997 / High-frequency-Stereo-Matching-Network
  [CVPR 2023 Highlight] The Official Code for High-Frequency Stereo Matching Network
  ☆117Updated last year
• ZM-Zhou / SMDE-Pytorch
  The repository is to build a fair environment where the Self-supervised Monocular Depth Estimation (SMDE) methods could be evaluated and …
  ☆100Updated last year
• ShuweiShao / MonoDiffusion
  [TCSVT2024] MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model
  ☆31Updated 3 weeks ago
• alexklwong / calibrated-backprojection-network
  PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
  ☆122Updated 6 months ago
• ShuweiShao / URCDC-Depth
  [TMM2023] URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
  ☆44Updated last year
• hyBlue / FSRE-Depth
  Python3 / PyTorch implementation of the following paper: Fine-grained Semantics-aware Representation Enhancement for Self-supervisedMonoc…
  ☆92Updated 2 years ago
• ZM-Zhou / SDFA-Net_pytorch
  ☆17Updated 2 years ago
• YufeiWang777 / LRRU
  Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.
  ☆86Updated last year
• jiaxiZeng / Temporally-Consistent-Stereo-Matching
  TC-Stereo (ECCV2024)
  ☆71Updated 2 months ago
• SpadeLiu / Lac-GwcNet
  Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
  ☆44Updated 2 years ago
• LiuJF1226 / BDEdepth
  [IEEE RA-L 2023] Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation
  ☆41Updated last month
• antabangun / coex
  ☆149Updated last year
• Zhaohuai-L / Any-Stereo
  Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching
  ☆14Updated last month