Author

Yuyao Zhang

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Preprint Sep 2026

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

Representation alignment has become an effective way to accelerate diffusion training, but its benefits do not transfer reliably to pixel-space clean-image prediction. In JiT, we find that auxiliary feature alignment can improve access to semantic features while reducing access to image variation needed for clean-image...

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