Flow Along the K-Amplitude for Generative Modeling

27 April 2025

Papers citing "Flow Along the K-Amplitude for Generative Modeling"

36 / 36 papers shown

Title
Spectral Image Tokenizer Carlos Esteves M. Suhail A. Makadia ViT 94 4 0 12 Dec 2024
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models Nvidia : Yuval Atzmon Maciej Bala Yogesh Balaji ... Ting-Chun Wang Shuran Song Fangyin Wei Yu Zeng Qinsheng Zhang 87 8 0 11 Nov 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin Zhicheng Sun Ningyuan Li Kun Xu K. Xu ... Nan Zhuang Quzhe Huang Yang Song Yadong Mu Zhouchen Lin VGen 156 86 0 08 Oct 2024
Wavelets Are All You Need for Autoregressive Image Generation Wael Mattar Idan Levy Nir Sharon S. Dekel 79 5 0 28 Jun 2024
Accelerating Transformers with Spectrum-Preserving Token Merging Hoai-Chau Tran D. M. Nguyen Duy M. Nguyen Trung Thanh Nguyen Ngan Le Pengtao Xie Daniel Sonntag James Y. Zou Binh T. Nguyen Mathias Niepert 98 13 0 25 May 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction Keyu Tian Yi Jiang Zehuan Yuan Bingyue Peng Liwei Wang VGen 114 346 0 03 Apr 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen Zhuang Liu Saining Xie Kaiming He DiffM 86 60 0 25 Jan 2024
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps Zhenyu Zhou Defang Chen Can Wang Chun-Yen Chen DiffM 85 53 0 30 Nov 2023
Guided Flows for Generative Modeling and Decision Making Qinqing Zheng Matt Le Neta Shaul Y. Lipman Aditya Grover Ricky T. Q. Chen 100 46 0 22 Nov 2023
Generative Image Dynamics Zhengqi Li Richard Tucker Noah Snavely Aleksander Holynski DiffM 88 66 0 14 Sep 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 105 75 0 17 Jul 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu Weitao Du Yanjing Li Zhuoxinran Li Zhiling Zheng ... Anima Anandkumar C. Borgs J. Chayes Hongyu Guo Jian Tang AI4CE 91 24 0 15 Jun 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 305 325 0 15 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 102 66 0 05 Mar 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 120 2,436 0 19 Dec 2022
Wavelet Diffusion Models are fast and scalable Image Generators Hao Phung Quan Dao Anh Tran DiffM 69 96 0 29 Nov 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 213 1,389 0 06 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 218 1,053 0 07 Sep 2022
Pyramidal Denoising Diffusion Probabilistic Models Dohoon Ryu Jong Chul Ye 94 25 0 03 Aug 2022
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching Shengchao Liu Hongyu Guo Jian Tang 94 80 0 27 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 61 11 0 17 Jun 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 282 378 0 03 Mar 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
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 102 560 0 15 Dec 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,138 0 01 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 72 686 0 10 Jun 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 87 265 0 09 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 382 6,586 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 748 18,364 0 19 Jun 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,717 0 05 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 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
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 105 865 0 15 Apr 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 452 5,168 0 19 Jun 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 181 7,377 0 27 Oct 2017
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 109 2,245 0 18 Jun 2015