Compositional Generative Modeling: A Single Model is Not All You Need

2 February 2024

Papers citing "Compositional Generative Modeling: A Single Model is Not All You Need"

9 / 9 papers shown

Title
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models Prin Phunyaphibarn Phillip Y. Lee Jaihoon Kim Minhyuk Sung DiffM 81 0 0 26 Mar 2025
Generative Trajectory Stitching through Diffusion Composition Yunhao Luo Utkarsh Aashu Mishra Yilun Du Danfei Xu 64 0 0 07 Mar 2025
History-Guided Video Diffusion Kiwhan Song Boyuan Chen Max Simchowitz Yilun Du Russ Tedrake Vincent Sitzmann VGen 109 5 0 10 Feb 2025
Progressive Compositionality in Text-to-Image Generative Models Xu Han Linghao Jin Xiaofeng Liu Paul Pu Liang CoGe 93 2 0 22 Oct 2024
Can Models Learn Skill Composition from Examples? Haoyu Zhao Simran Kaur Dingli Yu Anirudh Goyal Sanjeev Arora CoGe MoE 48 2 0 29 Sep 2024
PoCo: Policy Composition from and for Heterogeneous Robot Learning Lirui Wang Jialiang Zhao Yilun Du Edward H. Adelson Russ Tedrake 71 26 0 04 Feb 2024
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models Alex Tamkin Miles Brundage Jack Clark Deep Ganguli AILaw ELM 192 248 0 04 Feb 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016