Banana100 dataset shows that none of 21 popular NR-IQA metrics consistently rate images degraded by 100 iterative edits lower than clean originals.
Quality-aware image-text alignment for real-world image quality assessment.arXiv preprint arXiv:2403.11176
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The work introduces a distributional view of visual mechanistic interpretability that casts the task as KL-minimal optimization and realizes it through a soft-constraint principle implemented with energy-guided diffusion posterior sampling on models such as DINOv3.
Blind omnidirectional image quality assessment reduces to standard 2D blind IQA by skipping viewport generation, yielding a unified model that accepts equirectangular inputs directly.
Latent Wavelet Diffusion uses wavelet energy map masking and a scale-consistent VAE to improve detail fidelity in 2K-4K image generation without extra inference overhead.
A video quality model trained purely on pseudo-labels from weaker VQA models and synthetic distortions beats fully supervised state-of-the-art models on ten benchmarks, with the largest gains on new video types.
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Banana100: Breaking NR-IQA Metrics by 100 Iterative Image Replications with Nano Banana Pro
Banana100 dataset shows that none of 21 popular NR-IQA metrics consistently rate images degraded by 100 iterative edits lower than clean originals.
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A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle
The work introduces a distributional view of visual mechanistic interpretability that casts the task as KL-minimal optimization and realizes it through a soft-constraint principle implemented with energy-guided diffusion posterior sampling on models such as DINOv3.
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Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
Blind omnidirectional image quality assessment reduces to standard 2D blind IQA by skipping viewport generation, yielding a unified model that accepts equirectangular inputs directly.
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Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
Latent Wavelet Diffusion uses wavelet energy map masking and a scale-consistent VAE to improve detail fidelity in 2K-4K image generation without extra inference overhead.
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Generalizable Video Quality Assessment via Weak-to-Strong Learning
A video quality model trained purely on pseudo-labels from weaker VQA models and synthetic distortions beats fully supervised state-of-the-art models on ten benchmarks, with the largest gains on new video types.