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Stereo Depth Estimation

Papers

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Showing 51–97 of 97 papers

TitleStatusHype
Normal Assisted Stereo Depth EstimationCode0
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth PredictionCode0
Learning to Adapt for StereoCode0
DERD-Net: Learning Depth from Event-based Ray DensitiesCode0
Analysis & Computational Complexity Reduction of Monocular and Stereo Depth Estimation TechniquesCode0
Towards Continual, Online, Self-Supervised DepthCode0
Wireless Software Synchronization of Multiple Distributed Cameras—0
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?—0
Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions—0
Cameras as Relative Positional Encoding—0
Cross-spectral Gated-RGB Stereo Depth Estimation—0
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus—0
Depth Estimation maps of lidar and stereo images—0
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture—0
Diffusion Methods for Classification with Pairwise Relationships—0
DPS-Net: Deep Polarimetric Stereo Depth Estimation—0
Dual Exposure Stereo for Extended Dynamic Range 3D Imaging—0
Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder—0
Entropy-difference based stereo error detection—0
Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments—0
FoVA-Depth: Field-of-View Agnostic Depth Estimation for Cross-Dataset Generalization—0
FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume—0
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry—0
EndoPerfect: High-Accuracy Monocular Depth Estimation and 3D Reconstruction for Endoscopic Surgery via NeRF-Stereo Fusion—0
Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup—0
Joint Pruning & Quantization for Extremely Sparse Neural Networks—0
Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues—0
Low Compute and Fully Parallel Computer Vision With HashMatch—0
M3Depth: Wavelet-Enhanced Depth Estimation on Mars via Mutual Boosting of Dual-Modal Data—0
MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications—0
Online Adaptation through Meta-Learning for Stereo Depth Estimation—0
R^3SGM: Real-time Raster-Respecting Semi-Global Matching for Power-Constrained Systems—0
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification—0
Robust Vision Using Retro Reflective Markers for Remote Handling in ITER—0
SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation—0
SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams—0
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos—0
StereoDRNet: Dilated Residual StereoNet—0
SteROI-D: System Design and Mapping for Stereo Depth Inference on Regions of Interest—0
Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction—0
Temporally Consistent Online Depth Estimation in Dynamic Scenes—0
Uncertainty Guided Depth Fusion for Spike Camera—0
UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching—0
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation—0
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All datasetsKITTI2015SpringsceneflowKITTI 2015KITTI2012

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AnyNet three pixel error6.2—Unverified
22D-MobileStereoNetthree pixel error2.67—Unverified
3HITNETthree pixel error2.43—Unverified
4TriStereoNetD1-all All2.35—Unverified
5CDN-GANet Deepthree pixel error1.92—Unverified
63D-MobileStereoNetthree pixel error1.69—Unverified
#ModelMetricClaimedVerifiedStatus
1GA-Net1px total23.23—Unverified
2LEA-Stereo1px total19.89—Unverified
3RAFT-Stereo1px total15.27—Unverified
4ACVNet1px total14.77—Unverified
#ModelMetricClaimedVerifiedStatus
12D-MobileStereoNetAverage End-Point Error1.14—Unverified
2stereonetAverage End-Point Error1.1—Unverified
33D-MobileStereoNetAverage End-Point Error0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1TriStereoNetD1-all All2.35—Unverified
2MoCha-StereoD1-all All1.53—Unverified
#ModelMetricClaimedVerifiedStatus
1AnyNet three pixel error6.1—Unverified