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Yu-Wing Tai

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#machine learning Preprint Oct 2026

RefRoute: Decoupling Conditioning Cost from References via Compact Residual Conditioning and Spatial Routing

Multi-reference image generation requires preserving the appearance of multiple subjects while composing them into a coherent scene. However, existing diffusion transformers commonly encode references as dense visual token grids and jointly process them with global attention, making conditioning increasingly expensive...

Wan-Ning He, Yu-Yao Zhang, Yu-Wing Tai · 0 citations
Preprint Sep 2026

Just Align $\bm{x}$: Aligning Predictions, Not Representations

JAx (Just Align x), a prediction-supervision method that aligns clean-image predictions across noise levels, shows that prediction-space supervision provides a simple and principled alternative to representation alignment for pixel-space generative models.

Yu-Yao Zhang, Yu-Wei Hu, Zi-Yang Mai et al. · 0 citations
Preprint Aug 2026

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution

This work proposes a pixel-grounded super-resolution (PGSR) framework that preserves LR-observed pixel evidence before VAE compression and reuses it throughout restoration and improves the realism--fidelity trade-off and produces more faithful, visually convincing results than existing latent generative SR approaches.

Yu Shi, Yu-Yao Zhang, Yu-Wing Tai · 0 citations

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