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cs.CV2025
Towards Scalable Pre-training of Visual Tokenizers for Generation
Jingfeng Yao, Yuda Song, Yucong Zhou +1
The quality of the latent space in visual tokenizers (e.g., VAEs) is crucial for modern generative models. However, the standard reconstruction-based training paradigm produces a l…
cs.CV2024
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
Yuda Song, Zehao Sun, Xuanwu Yin
Recent advancements in diffusion models have positioned them at the forefront of image generation. Despite their superior performance, diffusion models are not without drawbacks; t…