Alternatives and similar repositories for AnyNet

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

• CVLAB-Unibo / Real-time-self-adaptive-deep-stereo
  Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
  ☆423Updated 2 years ago
• anuragranj / cc
  Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
  ☆532Updated 2 years ago
• meteorshowers / X-StereoLab
  SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG
  ☆718Updated 3 years ago
• feihuzhang / GANet
  GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
  ☆566Updated 5 years ago
• gengshan-y / high-res-stereo
  Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
  ☆424Updated 2 years ago
• mattpoggi / pydnet
  Repository for pydnet, IROS 2018
  ☆213Updated 3 years ago
• haofeixu / aanet
  [CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching
  ☆552Updated 3 years ago
• JiawangBian / SC-SfMLearner-Release
  Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
  ☆745Updated 3 years ago
• uber-research / DeepPruner
  DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
  ☆363Updated 5 years ago
• fangchangma / sparse-to-dense.pytorch
  ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
  ☆450Updated 6 years ago
• JiaRenChang / RealtimeStereo
  Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
  ☆184Updated 3 years ago
• cogsys-tuebingen / mobilestereonet
  Lightweight stereo matching network based on MobileNet blocks
  ☆294Updated 3 years ago
• fangchangma / self-supervised-depth-completion
  ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
  ☆647Updated 4 years ago
• YvanYin / VNL_Monocular_Depth_Prediction
  Monocular Depth Prediction
  ☆469Updated last year
• hufu6371 / DORN
  ☆470Updated 6 years ago
• XuelianCheng / LEAStereo
  Hierarchical Neural Architecture Searchfor Deep Stereo Matching (NeurIPS 2020)
  ☆267Updated 5 years ago
• xy-guo / GwcNet
  Group-wise Correlation Stereo Network, CVPR 2019
  ☆334Updated 6 years ago
• zyf12389 / GC-Net
  gc-net for stereo matching by using pytorch
  ☆114Updated 7 years ago
• OniroAI / MonoDepth-PyTorch
  Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
  ☆552Updated 7 years ago
• XinJCheng / CSPN
  Convolutional Spatial Propagation Network
  ☆502Updated 4 years ago
• DeepMotionAIResearch / DenseMatchingBenchmark
  Dense Matching Benchmark
  ☆174Updated 4 years ago
• nianticlabs / stereo-from-mono
  [ECCV 2020] Learning stereo from single images using monocular depth estimation networks
  ☆407Updated 4 years ago
• feihuzhang / DSMNet
  Domain-invariant Stereo Matching Networks
  ☆231Updated 3 years ago
• dwofk / fast-depth
  ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
  ☆995Updated 3 years ago
• sxfduter / monocular-depth-estimation
  ☆243Updated 3 years ago
• wvangansbeke / Sparse-Depth-Completion
  Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
  ☆506Updated 3 years ago
• JiaRenChang / PSMNet
  Pyramid Stereo Matching Network (CVPR2018)
  ☆1,537Updated 4 years ago
• fangchangma / sparse-to-dense
  ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
  ☆439Updated 7 years ago
• megvii-research / CREStereo
  Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
  ☆581Updated 2 years ago
• nianticlabs / depth-hints
  [ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
  ☆188Updated 4 years ago