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Research Paper#Diffusion Models, Image Editing, AI🔬 ResearchAnalyzed: Jan 3, 2026 15:56

Exact Editing of Flow-Based Diffusion Models

Published:Dec 30, 2025 06:29
1 min read
ArXiv

Analysis

This paper addresses the problem of semantic inconsistency and loss of structural fidelity in flow-based diffusion editing. It proposes Conditioned Velocity Correction (CVC), a framework that improves editing by correcting velocity errors and maintaining fidelity to the true flow. The method's focus on error correction and stable latent dynamics suggests a significant advancement in the field.
Reference

“CVC rethinks the role of velocity in inter-distribution transformation by introducing a dual-perspective velocity conversion mechanism.”

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Research Paper#Generative Modeling, Score-based Models, Energy-based Models🔬 ResearchAnalyzed: Jan 3, 2026 18:27

Energy-Tweedie: Extending Score and Energy Concepts

Published:Dec 29, 2025 19:28
1 min read
ArXiv

Analysis

This paper explores the relationship between denoising, score estimation, and energy models, extending Tweedie's formula to a broader class of distributions. It introduces a new identity connecting the derivative of an energy score to the score of the noisy marginal, offering potential applications in score estimation, noise distribution parameter estimation, and diffusion model samplers. The work's significance lies in its potential to improve and broaden the applicability of existing techniques in generative modeling.
Reference

“The paper derives a fundamental identity that connects the (path-) derivative of a (possibly) non-Euclidean energy score to the score of the noisy marginal.”

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