Elucidating the design space of language models for image generation

21 October 2024

Papers citing "Elucidating the design space of language models for image generation"

25 / 25 papers shown

Title
Autoregressive Image Generation without Vector Quantization Tianhong Li Yonglong Tian He Li Mingyang Deng Kaiming He DiffM 112 217 0 17 Jun 2024
An Image is Worth 32 Tokens for Reconstruction and Generation Qihang Yu Mark Weber XueQing Deng Xiaohui Shen Daniel Cremers Liang-Chieh Chen VLM ViT 151 95 0 11 Jun 2024
Chameleon: Mixed-Modal Early-Fusion Foundation Models Chameleon Team MLLM 179 307 0 16 May 2024
Rethinking Tokenization: Crafting Better Tokenizers for Large Language Models Jinbiao Yang LLMAG 146 11 0 01 Mar 2024
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 58 14 0 10 Apr 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.4K 14,313 0 15 Mar 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 90 2,299 0 19 Dec 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis Tianhong Li Huiwen Chang Shlok Kumar Mishra Han Zhang Dina Katabi Dilip Krishnan 66 166 0 16 Nov 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,889 0 26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 181 1,117 0 22 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 181 1,970 0 01 Jun 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 263 359 0 03 Mar 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 142 676 0 08 Feb 2022
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 114 516 0 09 Oct 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 153 1,220 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 222 7,831 0 11 May 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 260 7,356 0 06 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 755 41,932 0 28 May 2020
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 602 4,801 0 23 Jan 2020
Effectively Unbiased FID and Inception Score and where to find them Min Jin Chong David A. Forsyth EGVM 70 203 0 16 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 419 20,127 0 23 Oct 2019
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 122 1,816 0 16 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 339 4,626 0 10 Nov 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 480 9,048 0 10 Jun 2016