Towards Unifying Understanding and Generation in the Era of Vision
Foundation Models: A Survey from the Autoregression Perspective

Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective

29 October 2024

Guoqi Li

Shanghang Zhang

Papers citing "Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective"

5 / 5 papers shown

Title
Elucidating the design space of language models for image generation Xuantong Liu Shaozhe Hao Xianbiao Qi Tianyang Hu Jun Wang Rong Xiao Yuan Yao VLM 32 3 0 21 Oct 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Shaozhe Hao Xuantong Liu Xianbiao Qi Shihao Zhao Bojia Zi Rong Xiao Kai Han Kwan-Yee K. Wong 45 3 0 18 Oct 2024
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens Lijie Fan Tianhong Li Siyang Qin Yuanzhen Li Chen Sun Michael Rubinstein Deqing Sun Kaiming He Yonglong Tian VLM DiffM 48 41 0 17 Oct 2024
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation Rongyao Fang Chengqi Duan Kun Wang Hao Li H. Tian Xingyu Zeng Rui Zhao Jifeng Dai Hongsheng Li Xihui Liu MLLM 36 11 0 17 Oct 2024
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation Chengyue Wu Xiaokang Chen Z. F. Wu Yiyang Ma Xingchao Liu ... Wen Liu Zhenda Xie Xingkai Yu Chong Ruan Ping Luo AI4TS 60 74 0 17 Oct 2024