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Yutong Yang

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Conference Open access 2026

Bottlenecks in Small-Scale Diffusion Models across Noise Scheduling Inference and Data Scarcity

The diffusion model is currently the most common method for generating high-fidelity images, but it requires a large amount of data for training and has a high computational cost. Even though ongoing improvements to architecture have made generation more efficient, it is still important to look into the operational bot...

Yu-Tong Yang · 0 citations
Preprint Aug 2026

PixelControl: Fine-Grained Condition Fidelity in Text-to-Image Diffusion

Experiments show that PixelControl improves structural fidelity and visual quality over existing controllable generation methods, with especially strong gains on boundaries and medium/small conditioned regions.

Xin Lin, Haodong Li, Zhi-Fei Zhang et al. · 1 citation

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