Occlusion Estimation
6 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Occlusion Estimation
Most implemented papers
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
visinf/irr
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CVPR 2019
While leading to more accurate results, the downside of this is an increased number of parameters.
SENSE: a Shared Encoder Network for Scene-flow Estimation
We introduce a compact network for holistic scene flow estimation, called SENSE, which shares common encoder features among four closely-related tasks: optical flow estimation, disparity estimation from stereo, occlusion estimation, and semantic segmentation.
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
tim885/P2ORM
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The former provides a way to generate large-scale accurate occlusion datasets while, based on the latter, we propose a novel method for task-independent pixel-level occlusion relationship estimation from single images.
Deep Sketch-guided Cartoon Video Inbetweening
The key idea of the proposed approach is to estimate the dense cross-domain correspondence between the sketch and cartoon video frames, and employ a blending module with occlusion estimation to synthesize the middle frame guided by the sketch.
WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery
dineshreddy91/WALT
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CVPR 2022
Labeled real data of occlusions is scarce (even in large datasets) and synthetic data leaves a domain gap, making it hard to explicitly model and learn occlusions.
Global Occlusion-Aware Transformer for Robust Stereo Matching
Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, the performance in the ill-conditioned regions, such as the occluded regions, remains a bottleneck.
