v1v2 (latest)

Diffusion Models with Deterministic Normalizing Flow Priors

3 September 2023

Papers citing "Diffusion Models with Deterministic Normalizing Flow Priors"

50 / 58 papers shown

Title
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization Zhibo Chen Heming Sun Li Zhang Fan Zhang 101 3 0 23 May 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 274 22 0 28 Feb 2024
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis Jiayan Teng Wendi Zheng Ming Ding Wenyi Hong Jianqiao Wangni Zhuoyi Yang Jie Tang DiffM 85 45 0 04 Sep 2023
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport Zezeng Li Shenghao Li Zhanpeng Wang Na Lei Zhongxuan Luo Xianfeng Gu OT DiffM 62 9 0 21 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 60 3 0 05 Jul 2023
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer Yuhta Takida Masaaki Imaizumi Takashi Shibuya Chieh-Hsin Lai Toshimitsu Uesaka Naoki Murata Yuki Mitsufuji GAN 80 13 0 30 Jan 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 335 1,238 0 10 Sep 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 93 117 0 11 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 241 1,464 0 02 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 256 53 0 27 May 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation Vikram S. Voleti Alexia Jolicoeur-Martineau Christopher Pal DiffM VGen 99 307 0 19 May 2022
Subspace Diffusion Generative Models Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 84 78 0 03 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 80 439 0 29 Apr 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 147 267 0 16 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 502 15,788 0 20 Dec 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 268 180 0 21 Oct 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 87 93 0 14 Oct 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 60 23 0 29 Jun 2021
Styleformer: Transformer based Generative Adversarial Networks with Style Vector Jeeseung Park Younggeun Kim ViT 81 49 0 13 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 123 121 0 12 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 72 686 0 10 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 64 59 0 08 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 119 476 0 01 Jun 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 64 70 0 31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 166 1,238 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 271 7,958 0 11 May 2021
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics Mohsen Zand Ali Etemad Michael A. Greenspan AI4CE 63 6 0 09 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 97 194 0 30 Mar 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Yi Ding Shiyu Chang Zhangyang Wang ViT 120 392 0 14 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 120 320 0 28 Jan 2021
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari Ming Liang Ang Harold Soh 84 49 0 01 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 364 6,586 0 26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 186 352 0 20 Nov 2020
Dual Contradistinctive Generative Autoencoder Gaurav Parmar Dacheng Li Kwonjoon Lee Zhuowen Tu GAN 58 82 0 19 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 295 7,492 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 164 1,468 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 113 793 0 02 Sep 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 85 915 0 08 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 742 18,364 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 266 1,163 0 16 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 175 1,890 0 11 Jun 2020
Noise Flow: Noise Modeling with Conditional Normalizing Flows A. Abdelhamed Marcus A. Brubaker M. S. Brown 60 174 0 22 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 131 378 0 06 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 151 1,828 0 02 Jun 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 69 215 0 06 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 88 451 0 01 Feb 2019
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 114 111 0 26 Oct 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 97 64 0 14 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 305 3,144 0 09 Jul 2018