Author

Mingzhe Zheng

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Preprint Aug 2026

An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models

This paper investigates an increasingly important topic in generative modeling: pixel-space diffusion models. Although numerous studies have explored this topic, most focus on small-scale or class-conditional settings. Consequently, a practical recipe for training pixel-space models that rival or exceed well-establishe...

Deng-Yang Jiang, Ruoyi Du, Zhen-Nan Chen et al. · 3 citations

Jul 2026

Twins: Learn to Predict Unified Representations with Focal Loss

Twin, a unified continuous token space formed by channel-wise concatenating ViT and VAE features on the same token grid, so the sequence length is unchanged and attention cost does not increase is proposed, which performs competitively on multimodal understanding benchmarks and improves reconstruction fidelity.

Kaixiong Gong, Xin Cai, Bin Lin et al. · arXiv.org · 0 citations

Aug 2026

SCALAR++: Efficient Controllable Generation via Scale-wise Visual Autoregressive Learning

This work proposes a Scale-wise Conditional Decoding mechanism, which projects semantic signals from a frozen vision encoder into scale-specific layers of the VAR backbone, and introduces a Unified Control Alignment strategy (SCALAR-Uni) to handle diverse control modalities within a single projection space.

Ryan Xu, Dong-Yang Jin, Shawn Chen et al. · International Journal of Com... · 1 citation