5 citations · 11 across the 15 of their papers we have counts for
3 papers · 1 filter
SFTok: Bridging the Performance Gap in Discrete Tokenizers
Qihang Rao, Borui Zhang, Wenzhao Zheng +2
Recent advances in multimodal models highlight the pivotal role of image tokenization in high-resolution image generation. By compressing images into compact latent representations…
SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder
Minglei Shi, Haolin Wang, Borui Zhang +11
Visual generation grounded in Visual Foundation Model (VFM) representations offers a highly promising unified pathway for integrating visual understanding, perception, and generati…
Quantize-then-Rectify: Efficient VQ-VAE Training
Borui Zhang, Qihang Rao, Wenzhao Zheng +2
Visual tokenizers are pivotal in multimodal large models, acting as bridges between continuous inputs and discrete tokens. Nevertheless, training high-compression-rate VQ-VAEs rema…