Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion

26 February 2024

Tianyang Hu

Papers citing "Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion"

40 / 40 papers shown

Title
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity Peihao Wang Zhiwen Fan Dejia Xu Dilin Wang Sreyas Mohan ... Rakesh Ranjan Yilei Li Qiang Liu Zhangyang Wang Vikas Chandra 112 21 0 31 Dec 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu Fei Chen Hong Wang Jiawei Li Wei Cao Jiacheng Sun Zechao Li DiffM 88 10 0 17 Jul 2023
Grounded Text-to-Image Synthesis with Attention Refocusing Quynh Phung Songwei Ge Jia-Bin Huang DiffM 90 113 0 08 Jun 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen Tianyang Hu Fengwei Zhou Zhenguo Li Zhiming Ma 62 12 0 05 Jun 2023
Fine-Tuning Language Models with Just Forward Passes Sadhika Malladi Tianyu Gao Eshaan Nichani Alexandru Damian Jason D. Lee Danqi Chen Sanjeev Arora 128 206 0 27 May 2023
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models Ruichen Wang Zekang Chen Chen Chen Jiancang Ma H. Lu Xiaodong Lin DiffM 82 70 0 23 May 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Hila Chefer Yuval Alaluf Yael Vinker Lior Wolf Daniel Cohen-Or DiffM 122 516 0 31 Jan 2023
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis Weixi Feng Xuehai He Tsu-Jui Fu Varun Jampani Arjun Reddy Akula P. Narayana Sugato Basu Xinze Wang William Yang Wang CoGe 150 318 0 09 Dec 2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip Torr 79 9 0 27 Nov 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong Muhammad Awais Fengwei Zhou Chuanlong Xie Tianyang Hu Yongxin Yang Sung-Ho Bae Zhenguo Li OODD VLM 96 14 0 17 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 177 2,439 0 29 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,971 0 26 Jul 2022
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu Zhili Liu Fengwei Zhou Wei Cao Weiran Huang SSL 84 28 0 30 May 2022
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization D. Kovalev Alexander Gasnikov 76 31 0 19 May 2022
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance Katherine Crowson Stella Biderman Daniel Kornis Dashiell Stander Eric Hallahan Louis Castricato Edward Raff CLIP 138 381 0 18 Apr 2022
A Survey of Vision-Language Pre-Trained Models Yifan Du Zikang Liu Junyi Li Wayne Xin Zhao VLM 128 187 0 18 Feb 2022
Gradients without Backpropagation A. G. Baydin Barak A. Pearlmutter Don Syme Frank Wood Philip Torr 72 67 0 17 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 557 4,421 0 28 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Eric Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 66 72 0 12 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 505 15,788 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 364 3,630 0 20 Dec 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Shafiq Joty Caiming Xiong Guosheng Lin FaML 223 1,979 0 16 Jul 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 169 1,588 0 18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 469 3,906 0 11 Feb 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Zhuowen Tu Stefano Soatto 112 120 0 21 Jan 2021
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 385 6,592 0 26 Nov 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 138 646 0 02 Oct 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 118 1,338 0 20 May 2020
On Compositions of Transformations in Contrastive Self-Supervised Learning Mandela Patrick Yuki M. Asano Polina Kuznetsova Ruth C. Fong João F. Henriques Geoffrey Zweig Andrea Vedaldi 77 49 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 393 18,897 0 13 Feb 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 89 569 0 18 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman Greg Yang Jungshian Li Pengchuan Zhang Huan Zhang Ilya P. Razenshteyn Sébastien Bubeck AAML 90 552 0 09 Jun 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 171 2,052 0 08 Feb 2019
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions Yunwen Lei Ting Hu Guiying Li K. Tang MLT 89 118 0 03 Feb 2019
Certified Adversarial Robustness with Additive Noise Bai Li Changyou Chen Wenlin Wang Lawrence Carin AAML 111 351 0 10 Sep 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,035 0 12 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 134 1,968 0 26 Nov 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 124 1,562 0 22 Sep 2013