Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and
Next-Token Prediction

Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction

21 May 2024

Luke Zettlemoyer

Papers citing "Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction"

6 / 6 papers shown

Title
When Worse is Better: Navigating the compression-generation tradeoff in visual tokenization Vivek Ramanujan Kushal Tirumala Armen Aghajanyan Luke Zettlemoyer Ali Farhadi DiffM 76 2 0 20 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 137 2 0 09 Dec 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation Jiatao Gu Yuyang Wang Yizhe Zhang Qihang Zhang Dinghuai Zhang Navdeep Jaitly Josh Susskind Shuangfei Zhai DiffM 39 13 0 10 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 52 2 0 02 Oct 2024
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models Kangfu Mei Zhengzhong Tu M. Delbracio Hossein Talebi Vishal M. Patel P. Milanfar DiffM 58 12 0 01 Apr 2024
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020