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  3. Enhancing Image Aesthetics with Dual-Conditioned Diffusion M
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Enhancing Image Aesthetics with Dual-Conditioned Diffusion Models Guided by Multimodal Perception

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0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Enhancing Image Aesthetics with Dual-Conditioned Diffusion Models Guided by Multimodal Perception

PDF: https://arxiv.org/pdf/2603.11556v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Enhancing Image Aesthetics with Dual-Conditioned Diffusion Models Guided by Multimodal Perception

Overall score: 7/10
Lineage: f01490625899…
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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

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Dimensions overall score 7.0

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Builds On This
InEdit-Bench: Benchmarking Intermediate Logical Pathways for Intelligent Image Editing Models
Score 5.0down
Prior Work
Adaptive Auxiliary Prompt Blending for Target-Faithful Diffusion Generation
Score 7.0stable
Prior Work
CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing
Score 7.0stable
Prior Work
ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning
Score 7.0stable
Prior Work
PASDiff: Physics-Aware Semantic Guidance for Joint Real-world Low-Light Face Enhancement and Restoration
Score 7.0stable
Higher Viability
AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image Generation
Score 8.0up
Higher Viability
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation
Score 8.0up
Higher Viability
Recolour What Matters: Region-Aware Colour Editing via Token-Level Diffusion
Score 8.0up

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