Papers citing '"Principal Components" Enable A New Language of Images'

Title
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code Tianyu Hua Harper Hua Robert Z. Sparks Benjamin Klieger Sang T. Truong Weixin Liang Fan-Yun Sun Nick Haber 131 4 0 02 Jun 2025
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length Roman Bachmann Jesse Allardice David Mizrahi Enrico Fini Oğuzhan Fatih Kar Elmira Amirloo Alaaeldin El-Nouby Amir Zamir Afshin Dehghan VGen 231 6 0 19 Feb 2025
Masked Autoencoders Are Effective Tokenizers for Diffusion Models Zeyang Zhang Yujin Han Fangyi Chen Xianrui Li Yidong Wang Jindong Wang Zihan Wang Zicheng Liu Difan Zou Bhiksha Raj DiffM SyDa 422 9 0 05 Feb 2025
Diffusion Autoencoders are Scalable Image Tokenizers Yinbo Chen Rohit Girdhar Xinyu Wang Sai Saketh Rambhatla Ishan Misra 167 14 0 30 Jan 2025
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ThinkInternational Conference on Learning Representations (ICLR), 2024 Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 558 261 0 09 Oct 2024