Author

Yao Tang

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Preprint Oct 2026

CoVA: Composing VAE Representations for Generative Learning

Representation alignment with pretrained visual encoders improves diffusion transformer training but requires auxiliary encoders and extra training overhead. Recent approaches instead exploit representations from the generative model's own variational autoencoder (VAE). However, reconstruction-oriented VAE features are...

Zhao-Wei Chen, Yi-Kai Ge, Lin-Ze Li et al. · 0 citations

#artificial intelligence Preprint Aug 2026

EpaCache: Error-Propagation-Aware Caching for Accelerating Diffusion-Based Visual Generation

This work introduces Error-Propagation-Aware Cache (EpaCache), a training-free caching policy that adaptively allocates the reuse budget on timesteps with lower downstream impact and consistently improves the latency--fidelity trade-off over existing caching methods.

Yu-Han Liu, Zong-Wei Hong, Jinglun Li et al. · 0 citations

Preprint Aug 2026

SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching

Structural Parameter-free Affinity Regularization (SPARE), a regularizer that matches the pairwise affinities of intermediate tokens to those of the clean latents across images, is proposed, a regularizer that attains the lowest FID among parameter-free regularizers in every tested setting.

Zong-Wei Hong, Jinglun Li, Shen Zhang et al. · 1 citation