25 skills found
MAC-VO / MAC VO[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
callmeray / PointMVSNetCode for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)
Owen-Liuyuxuan / VisualDet3DOfficial Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
megvii-research / TransMVSNet(CVPR 2022) TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.
jzhangbs / Vis MVSNetVisibility-aware Multi-view Stereo Network
flanggut / SmvsShading-aware Multi-view Stereo
JiaRenChang / RealtimeStereoAttention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
touristCheng / UCSNetCode for "Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness"
CrisHY1995 / StereoPIFu CodeThis repository contains a pytorch implementation of "StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision".
swords123 / IDA 3DIDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving, in CVPR2020
XuelianCheng / LidarStereoNetNoise-Aware Unsupervised Deep Lidar-Stereo Fusion (CVPR 2019)
asad / SMSDSMSD — exact substructure & MCS search for chemical graphs.
ztsrxh / DVANetThe official implementation of Depth-aware Volume Attention (DVANet) for stereo matching
tiancheng-zhi / Cs StereoDeep Material-aware Cross-spectral Stereo Matching (CVPR 2018)
Magicboomliu / GOATThe official implementation of Global Occlusion-Aware Transformer for Robust Stereo Matching.(WACV2024)
fanxiule / CRD Fusion[CRV 2022, Oral] Occlusion-Aware Self-Supervised Stereo Matching with Confidence Guided Raw Disparity Fusion
Xinjie-Q / CAMSIC🏠 [AAAI 2025] CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
StriveZs / TS SatMVSNetTS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo
JianfeiJ / DI MVS[ICASSP 2024] DI-MVS: LEARNING EFFICIENT MULTI-VIEW STEREO WITH DEPTH-AWARE ITERATIONS
