Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

27 November 2023

Papers citing "Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation"

6 / 6 papers shown

Title
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities Raman Dutt Harleen Hanspal Guoxuan Xia Petru-Daniel Tudosiu Alexander Black Yongxin Yang Steven G. McDonagh Sarah Parisot MoE 40 0 0 28 Mar 2025
Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen Hexiang Hu Chitwan Saharia William W. Cohen VLM 125 161 0 29 Sep 2022
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation Chuanxia Zheng L. Vuong Jianfei Cai Dinh Q. Phung MQ 71 72 0 19 Sep 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson M. Krass Lucia Zheng Neel Guha Christopher D. Manning Dan Jurafsky Daniel E. Ho AILaw ELM 131 97 0 01 Jul 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 256 1,996 0 31 Dec 2020