Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation | ScienceToStartup | ScienceToStartup

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References (99)

[1]

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling

2025Bingjie Gao, Qianli Ma et al.

[2]

Exploring Structural Degradation in Dense Representations for Self-supervised Learning

2025Siran Dai, Qianqian Xu et al.

[3]

Long-tailed Recognition with Model Rebalancing

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"Enhance visual representation in CLIP by integrating contrastive signals into diffusion-based reconstruction for better discriminative and perceptual ability."

Contrastive Learning•Score: 6•View PDF ↗

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Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation

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References (99)

Founder's Pitch

"Enhance visual representation in CLIP by integrating contrastive signals into diffusion-based reconstruction for better discriminative and perceptual ability."

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Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation

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References (99)

Founder's Pitch

"Enhance visual representation in CLIP by integrating contrastive signals into diffusion-based reconstruction for better discriminative and perceptual ability."

Commercial Viability Breakdown

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