Learning Stackable and Skippable LEGO Bricks for Efficient,
Reconfigurable, and Variable-Resolution Diffusion Modeling

Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling

10 October 2023

Huangjie Zheng

Jianbo Yuan

Hongxia Yang

Mingyuan Zhou

Papers citing "Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling"

7 / 7 papers shown

Title
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 31 12 0 10 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 66 3 0 17 Sep 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models Athanasios Tragakis Marco Aversa Chaitanya Kaul Roderick Murray-Smith Daniele Faccio 49 2 0 11 Jun 2024
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer Shanghua Gao Pan Zhou Mingg-Ming Cheng Shuicheng Yan DiffM 135 155 0 25 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao Shen Nie Kaiwen Xue Chongxuan Li Shiliang Pu Yaole Wang Gang Yue Yue Cao Hang Su Jun Zhu DiffM 199 147 0 12 Mar 2023
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 768 0 27 May 2022
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016