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

Showing 101150 of 162 papers

TitleStatusHype
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual0
Movement-induced Priors for Deep StereoCode0
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach0
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module0
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling0
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones0
Disparity-Aware Domain Adaptation in Stereo Image Restoration0
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer0
Analytic Signal Phase in N-D by Linear Symmetry Tensor--fingerprint modeling0
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation0
Optimal HDR and Depth from Dual Cameras0
Depth-Based Selective Blurring in Stereo Images Using Accelerated FrameworkCode0
A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo visionCode0
SENSE: a Shared Encoder Network for Scene-flow EstimationCode0
On the Over-Smoothing Problem of CNN Based Disparity EstimationCode0
Understanding and Robustifying Differentiable Architecture SearchCode0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom0
Object-Centric Stereo Matching for 3D Object Detection0
Adaptive Unimodal Cost Volume Filtering for Deep Stereo MatchingCode0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task0
Stereo Event Lifetime and Disparity Estimation for Dynamic Vision Sensors0
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching0
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching0
AutoDispNet: Improving Disparity Estimation With AutoMLCode0
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks0
Multi-View Stereo by Temporal Nonparametric FusionCode0
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context AggregationCode0
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection0
VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images0
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network0
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery0
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization0
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation0
SegStereo: Exploiting Semantic Information for Disparity Estimation0
Real-time on-board obstacle avoidance for UAVs based on embedded stereo vision0
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
Optimal Structured Light à La Carte0
Light Field Intrinsics With a Deep Encoder-Decoder Network0
Deep Material-Aware Cross-Spectral Stereo Matching0
Fast Disparity Estimation using Dense NetworksCode0
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Variational Disparity Estimation Framework for Plenoptic ImageCode0
CBMV: A Coalesced Bidirectional Matching Volume for Disparity EstimationCode0
Left-Right Comparative Recurrent Model for Stereo Matching0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching0
Learning Light Field Reconstruction from a Single Coded Image0
Learning for Disparity Estimation through Feature ConstancyCode0
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Benchmark Results

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