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arXiv Computer Vision research summaries for May 15, 2024.
Today's Research Themes (AI-Generated):
• Addressing multi-task feature importance for remote visual inference through mutual information-based compression.
• Proposing RSHazeDiff, a Fourier-aware diffusion model enhancing remote sensing image dehazing with improved detail and color fidelity.
• Introducing SOEDiff to efficiently edit small objects in images with text-based inpainting.
• Developing HAAP, a hierarchical attention autoregressive model with adaptive permutation for improved scene text recognition accuracy.
• Examining domain generalization in multi-view stereo with the proposed RobustMVS framework, enhancing cross-domain robustness.
arXiv Computer Vision research summaries for May 15, 2024.
Today's Research Themes (AI-Generated):
• Addressing multi-task feature importance for remote visual inference through mutual information-based compression.
• Proposing RSHazeDiff, a Fourier-aware diffusion model enhancing remote sensing image dehazing with improved detail and color fidelity.
• Introducing SOEDiff to efficiently edit small objects in images with text-based inpainting.
• Developing HAAP, a hierarchical attention autoregressive model with adaptive permutation for improved scene text recognition accuracy.
• Examining domain generalization in multi-view stereo with the proposed RobustMVS framework, enhancing cross-domain robustness.