Classifier-Free Diffusion Guidance

26 July 2022

Papers citing "Classifier-Free Diffusion Guidance"

37 / 337 papers shown

Title
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 123 5 0 16 Dec 2023
Optimized View and Geometry Distillation from Multi-view Diffuser Youjia Zhang Zikai Song Junqing Yu Yawei Luo Wei Yang 66 0 0 11 Dec 2023
StoryGPT-V: Large Language Models as Consistent Story Visualizers Xiaoqian Shen Mohamed Elhoseiny VLM 153 11 0 04 Dec 2023
Latent Feature-Guided Diffusion Models for Shadow Removal Kangfu Mei Luis Figueroa Zhe Lin Zhihong Ding Scott D. Cohen Vishal M. Patel DiffM 76 18 0 04 Dec 2023
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation Moayed Haji-Ali Guha Balakrishnan Vicente Ordonez 116 26 0 30 Nov 2023
Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim Geon Yeong Park Hyungjin Chung Jong Chul Ye AI4CE 106 16 0 27 Nov 2023
Flow-Guided Diffusion for Video Inpainting Bohai Gu Yongsheng Yu Hengrui Fan Libo Zhang VGen DiffM 66 12 0 26 Nov 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 136 12 0 19 Oct 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 137 31 0 27 Aug 2023
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models Peike Li Bo-Yu Chen Yao Yao Yikai Wang Allen Wang Alex Jinpeng Wang MGen VLM DiffM 102 39 0 09 Aug 2023
Counting Guidance for High Fidelity Text-to-Image Synthesis Wonjune Kang Kevin Galim H. Koo Nam Ik Cho DiffM 74 10 0 30 Jun 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 72 4 0 21 May 2023
Expressive Text-to-Image Generation with Rich Text Songwei Ge Taesung Park Jun-Yan Zhu Jia-Bin Huang DiffM 106 82 0 13 Apr 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models Idan Schwartz Vésteinn Snaebjarnarson Hila Chefer Ryan Cotterell Serge Belongie Lior Wolf Sagie Benaim 55 10 0 30 Mar 2023
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos Hanlin Wang Yilu Wu Sheng Guo Limin Wang VGen DiffM 127 31 0 26 Mar 2023
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods Wonwoong Cho Hareesh Ravi Midhun Harikumar V. Khuc Krishna Kumar Singh Jingwan Lu David I. Inouye Ajinkya Kale DiffM 88 7 0 28 Feb 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 77 0 0 20 Jan 2023
SINE: SINgle Image Editing with Text-to-Image Diffusion Models Zhixing Zhang Ligong Han Arna Ghosh Dimitris N. Metaxas Jian Ren DiffM 105 159 0 08 Dec 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 133 587 0 02 Nov 2022
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 307 177 0 30 Jun 2022
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 155 1,111 0 01 Jul 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 136 1,213 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 181 7,765 0 11 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 293 3,648 0 18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 122 657 0 22 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 294 6,409 0 26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 110 1,449 0 21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 64 791 0 02 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 505 17,888 0 19 Jun 2020
LOGAN: Latent Optimisation for Generative Adversarial Networks Yongpeng Wu Jeff Donahue David Balduzzi Karen Simonyan Timothy Lillicrap GAN 56 88 0 02 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 123 1,804 0 02 Jun 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 240 5,381 0 28 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 277 3,124 0 09 Jul 2018
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 466 9,027 0 10 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 258 6,887 0 12 Mar 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.5K 39,472 0 01 Sep 2014