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Depth Estimation

393 directly classified papers

Papers per year

Papers

PatchmatchNet: Learned Multi-View Patchmatch Stereo CVPR 2021
Robust Consistent Video Depth Estimation CVPR 2021
Depth Completion Using Plane-Residual Representation CVPR 2021
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching CVPR 2021
Self-Supervised Learning of Depth Inference for Multi-View Stereo CVPR 2021
Learning To Recover 3D Scene Shape From a Single Image CVPR 2021
HoHoNet: 360 Indoor Holistic Understanding With Latent Horizontal Features CVPR 2021
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching CVPR 2021
Lighting, Reflectance and Geometry Estimation From 360deg Panoramic Stereo CVPR 2021
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging CVPR 2021
RGB-D Local Implicit Function for Depth Completion of Transparent Objects CVPR 2021
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline CVPR 2021
DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion CVPR 2021
Single Image Depth Prediction With Wavelet Decomposition CVPR 2021
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation CVPR 2021
Layout-Guided Novel View Synthesis From a Single Indoor Panorama CVPR 2021
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion CVPR 2021
Radar-Camera Pixel Depth Association for Depth Completion CVPR 2021
High-Quality Stereo Image Restoration From Double Refraction CVPR 2021
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias CVPR 2021
EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual CVPR 2021
Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks CVPR 2021
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences CVPR 2021
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation CVPR 2020
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion AAAI 2020