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Xing-Jian Leng

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Preprint Oct 2026

Representation Conditioning for Generation

Representation-alignment methods effectively accelerate the diffusion transformer training. REPA, for example, uses a pretrained vision encoder to supervise an intermediate layer through an MLP projection head which is discarded after training. It aims to import semantics from the vision encoder to the diffusion backbo...

S. Razavi, Xing-Jian Leng, Liang Zheng · 0 citations
Preprint Oct 2026

MiniDog: Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs

MiniDog, a framework that enables pretraining diffusion transformers in 55 minutes and fine-tuning in another 15 minutes on four 3090 GPUs is developed, which supports FID, HPSv2 score, PickScore, and various VAE reconstruction metrics.

Reyhaneh Esmailizadeh, Xing-Jian Leng, Zhan-Hao Liang et al. · 0 citations

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