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 1–10 of 162 papers

TitleStatusHype
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather—0
ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo MatchingCode2
DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning—0
Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images—0
DispBench: Benchmarking Disparity Estimation to Synthetic CorruptionsCode0
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis—0
DEFOM-Stereo: Depth Foundation Model Based Stereo MatchingCode3
All-directional Disparity Estimation for Real-world QPD Images—0
GBC-Splat: Generalizable Gaussian-Based Clothed Human Digitalization under Sparse RGB Cameras—0
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation—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)53.3—Unverified