v1v2 (latest)

Meta ControlNet: Enhancing Task Adaptation via Meta Learning

3 December 2023

Papers citing "Meta ControlNet: Enhancing Task Adaptation via Meta Learning"

33 / 33 papers shown

Title
Controllable Generation with Text-to-Image Diffusion Models: A Survey Pu Cao Feng Zhou Qing-Huang Song Lu Yang 130 38 0 07 Mar 2024
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 116 45 0 31 Jul 2023
Generating Images with 3D Annotations Using Diffusion Models Wufei Ma Qihao Liu Jiahao Wang Angtian Wang Xiaoding Yuan ... Ruxiao Duan Yongrui Qi Adam Kortylewski Yaoyao Liu Alan Yuille DiffM 75 5 0 13 Jun 2023
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models Ernie Chu Shuohao Lin Jun-Cheng Chen DiffM 48 21 0 30 May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models Shihao Zhao Dongdong Chen Yen-Chun Chen Jianmin Bao Shaozhe Hao Lu Yuan Kwan-Yee K. Wong 106 267 0 25 May 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation Junyoung Seo Wooseok Jang Minseop Kwak Ines Hyeonsu Kim Jaehoon Ko Junho Kim Jin-Hwa Kim Jiyoung Lee Seung Wook Kim DiffM 69 138 0 14 Mar 2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions Lianghua Huang Di Chen Yu Liu Yujun Shen Deli Zhao Jingren Zhou DiffM 66 289 0 20 Feb 2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models Chong Mou Xintao Wang Liangbin Xie Yanze Wu Shuai Liu Zhongang Qi Ying Shan Xiaohu Qie DiffM 130 1,030 0 16 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 182 4,168 1 10 Feb 2023
GLIGEN: Open-Set Grounded Text-to-Image Generation Yuheng Li Haotian Liu Qingyang Wu Fangzhou Mu Jianwei Yang Jianfeng Gao Chunyuan Li Yong Jae Lee VLM 121 601 1 17 Jan 2023
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation Jay Zhangjie Wu Yixiao Ge Xintao Wang Weixian Lei Yuchao Gu Yufei Shi Wynne Hsu Ying Shan Xiaohu Qie Mike Zheng Shou VGen 121 743 0 22 Dec 2022
Reproducible scaling laws for contrastive language-image learning Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 123 819 0 14 Dec 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,908 0 13 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 493 15,734 0 20 Dec 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 268 7,938 0 11 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 719 6,127 0 29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 969 29,810 0 26 Feb 2021
Learned Initializations for Optimizing Coordinate-Based Neural Representations Matthew Tancik B. Mildenhall Terrance Wang Divi Schmidt Pratul P. Srinivasan Jonathan T. Barron Ren Ng 109 291 0 03 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,566 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 289 7,469 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 709 18,310 0 19 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions Vincent Sitzmann E. R. Chan Richard Tucker Noah Snavely Gordon Wetzstein 62 251 0 17 Jun 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 305 647 0 19 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer René Ranftl Katrin Lasinger David Hafner Konrad Schindler V. Koltun MDE 210 1,800 0 02 Jul 2019
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Gines Hidalgo Tomas Simon S. Wei Yaser Sheikh 3DH CVBM 124 4,598 0 18 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 617 10,590 0 12 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 269 5,403 0 28 Sep 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 237 2,237 0 08 Mar 2018
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 102 1,427 0 10 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 147 3,495 0 24 Apr 2015