Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

15 December 2021

Papers citing "Tackling the Generative Learning Trilemma with Denoising Diffusion GANs"

50 / 100 papers shown

Title
Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models Xin Yuan Linjie Li Jianfeng Wang Zhengyuan Yang Kevin Qinghong Lin Zicheng Liu Lijuan Wang DiffM 45 6 0 27 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 33 59 0 17 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 13 7 0 04 Jul 2023
Masked Diffusion Models Are Fast Distribution Learners Jiachen Lei Qinglong Wang Pengyu Cheng Zhongjie Ba Zhan Qin Zhibo Wang Zhenguang Liu Kui Ren DiffM 17 2 0 20 Jun 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 11 2 0 01 Jun 2023
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling Gongye Liu Haoze Sun Jiayi Li Fei Yin Yujiu Yang 22 19 0 26 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 12 19 0 24 May 2023
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models Byungjun Kim Patrick Kwon K. Lee Myunggi Lee Sookwan Han Daesik Kim Hanbyul Joo DiffM 29 20 0 19 May 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 19 2 0 25 Apr 2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models A. Blattmann Robin Rombach Huan Ling Tim Dockhorn Seung Wook Kim Sanja Fidler Karsten Kreis 3DGS VGen 37 1,010 0 18 Apr 2023
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution Brian B. Moser Stanislav Frolov Federico Raue Sebastián M. Palacio Andreas Dengel 27 14 0 04 Apr 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization Q. Gao Zilong Li Junping Zhang Yi Zhang Hongming Shan DiffM MedIm 21 49 0 04 Apr 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 24 501 0 07 Mar 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 30 4 0 13 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction Ling-Hao Chen Jiawei Zhang Ye-rong Li Yiren Pang Xiaobo Xia Tongliang Liu DiffM VGen 30 55 0 07 Feb 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds Yeqing Lin Mohammed AlQuraishi DiffM AI4CE 12 73 0 29 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 16 21 0 29 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 30 53 0 27 Jan 2023
Regular Time-series Generation using SGM Haksoo Lim Minjung Kim Sewon Park Noseong Park DiffM TTA AI4TS 25 23 0 20 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech Ze Chen Yihan Wu Yichong Leng Jiawei Chen Haohe Liu ... Ke Wang Lei He Sheng Zhao Jiang Bian Danilo P. Mandic DiffM 20 22 0 30 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 16 58 0 04 Dec 2022
FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution Kyoungwan Woo Achyuta Rajaram DiffM 10 1 0 30 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 19 84 0 28 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 35 132 0 24 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 30 20 0 07 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 25 45 0 03 Nov 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 17 8 0 20 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 38 104 0 11 Oct 2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration Yuma Koizumi Kohei Yatabe Heiga Zen M. Bacchiani DiffM 42 29 0 03 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 30 838 0 07 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 23 78 0 31 Aug 2022
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools Brian DeCann K. Trapeznikov CVBM 19 2 0 24 Aug 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models Muzaffer Özbey Onat Dalmaz S. Dar H. Bedel cSaban Ozturk Alper Gungor Tolga cCukur DiffM MedIm 25 272 0 17 Jul 2022
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech Rongjie Huang Zhou Zhao Huadai Liu Jinglin Liu Chenye Cui Yi Ren DiffM 44 193 0 13 Jul 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction Alper Gungor S. Dar cSaban Ozturk Yilmaz Korkmaz Gokberk Elmas Muzaffer Özbey Tolga cCukur DiffM MedIm 24 183 0 12 Jul 2022
Riemannian Diffusion Schrödinger Bridge James Thornton M. Hutchinson Emile Mathieu Valentin De Bortoli Yee Whye Teh Arnaud Doucet DiffM 16 7 0 07 Jul 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 21 15 0 18 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 13 72 0 15 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 28 107 0 15 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 34 111 0 11 Jun 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis Yichong Leng Zehua Chen Junliang Guo Haohe Liu Jiawei Chen ... Lei He Xiang-Yang Li Tao Qin Sheng Zhao Tie-Yan Liu DiffM 51 58 0 30 May 2022
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis Rongjie Huang Max W. Y. Lam J. Wang Dan Su Dong Yu Yi Ren Zhou Zhao DiffM 16 164 0 21 Apr 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 13 51 0 27 Feb 2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs Songxiang Liu Dan Su Dong Yu DiffM 68 65 0 28 Jan 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 175 719 0 02 Mar 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 259 0 07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,387 0 21 Nov 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016