SOTAVerified

Disparity Estimation

The Disparity Estimation is the task of finding the pixels in the multiscopic views that correspond to the same 3D point in the scene.

Papers

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Showing 51–100 of 162 papers

TitleStatusHype
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression TasksCode0
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity LearningCode0
Learning for Disparity Estimation through Feature ConstancyCode0
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Movement-induced Priors for Deep StereoCode0
Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction NetworkCode0
Multi-View Stereo by Temporal Nonparametric FusionCode0
On the Over-Smoothing Problem of CNN Based Disparity EstimationCode0
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context AggregationCode0
SENSE: a Shared Encoder Network for Scene-flow EstimationCode0
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep LearningCode0
SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo MatchingCode0
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light SystemCode0
Variational Disparity Estimation Framework for Plenoptic ImageCode0
VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouetteCode0
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network—0
Full Matching on Low Resolution for Disparity Estimation—0
GBC-Splat: Generalizable Gaussian-Based Clothed Human Digitalization under Sparse RGB Cameras—0
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution—0
Graph Cut based Continuous Stereo Matching using Locally Shared Labels—0
High-Performance and Tunable Stereo Reconstruction—0
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks—0
Hyperspectral Light Field Stereo Matching—0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images—0
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization—0
Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction—0
Deep Material-Aware Cross-Spectral Stereo Matching—0
Iterative Occlusion-Aware Light Field Depth Estimation using 4D Geometrical Cues—0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching—0
Learning Light Field Reconstruction from a Single Coded Image—0
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity—0
Left-Right Comparative Recurrent Model for Stereo Matching—0
Left-right Discrepancy for Adversarial Attack on Stereo Networks—0
Recovering Detail in 3D Shapes Using Disparity Maps—0
Light Field Intrinsics With a Deep Encoder-Decoder Network—0
Light Field Super-Resolution Via Graph-Based Regularization—0
Light-field view synthesis using convolutional block attention module—0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach—0
Low Compute and Fully Parallel Computer Vision With HashMatch—0
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module—0
MAP Disparity Estimation Using Hidden Markov Trees—0
Matching entropy based disparity estimation from light field—0
Deep Event Stereo Leveraged by Event-to-Image Translation—0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images—0
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction—0
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All datasetsSintel 4D LFV - ambushfight5Sintel 4D LFV - bamboo3Sintel 4D LFV - shaman2Sintel 4D LFV - thebigfight2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)62.05—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)53.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)74.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)17.75—Unverified