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New benchmark and PECA module tackle heterogeneous stereo deblurring

Researchers have introduced a new benchmark and method for addressing heterogeneous stereo deblurring, a problem common in smartphone cameras where different modules can cause asymmetric blur. The proposed solution includes the Heterogeneous Stereo Deblurring (HSD) dataset, built from real smartphone captures, and a novel module called Physically- and Epipolar-constrained Cross Attention (PECA). PECA uses physically derived constraints to guide feature fusion across camera views, improving deblurring performance and efficiency for various existing models like CNNs, Transformers, and NAFNet. AI

IMPACT Introduces a novel approach to improve image quality in stereo vision systems, potentially impacting mobile photography and AR applications.

RANK_REASON Academic paper introducing a new dataset and method for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New benchmark and PECA module tackle heterogeneous stereo deblurring

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Hoju Shin, Jiah Kim, Seung-Wook Kim, Seowon Ji ·

    A Benchmark for Heterogeneous Stereo Deblurring with Physically- and Epipolar-constrained Cross Attention

    arXiv:2606.25962v1 Announce Type: new Abstract: Modern stereo-capable smartphones enable immersive XR content capture. However, hardware heterogeneity across camera modules often causes severe asymmetric blur artifacts. Existing methods and benchmarks largely assume homogeneous s…

  2. arXiv cs.CV TIER_1 English(EN) · Seowon Ji ·

    A Benchmark for Heterogeneous Stereo Deblurring with Physically- and Epipolar-constrained Cross Attention

    Modern stereo-capable smartphones enable immersive XR content capture. However, hardware heterogeneity across camera modules often causes severe asymmetric blur artifacts. Existing methods and benchmarks largely assume homogeneous stereo setups and therefore do not explicitly add…