Wavelet Diffusion Models are fast and scalable Image Generators

29 November 2022

Papers citing "Wavelet Diffusion Models are fast and scalable Image Generators"

20 / 20 papers shown

Title
Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation Jincheng Zhang Gyorgy Fazekas C. Saitis 43 0 0 06 May 2025
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution Luigi Sigillo Christian Bianchi A. Uncini Danilo Comminiello 46 0 0 01 May 2025
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 78 0 0 30 Apr 2025
Flow Along the K-Amplitude for Generative Modeling Weitao Du Shuning Chang Jiasheng Tang Yu Rong F. Wang Shengchao Liu 51 0 0 27 Apr 2025
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models Jinjin Zhang Qiuyu Huang Junjie Liu Xiefan Guo Di Huang 54 1 0 24 Mar 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 60 3 0 03 Feb 2025
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation Quan Dao Hao Phung T. Dao Dimitris Metaxas Anh Tran 90 1 0 22 Dec 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 62 3 0 06 Nov 2024
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention Mengkang Hu DiffM 38 7 0 01 Aug 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Seyedmorteza Sadat Jakob Buhmann Derek Bradley Otmar Hilliges Romann M. Weber 39 9 0 23 May 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 66 84 0 27 Feb 2024
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 42 6 0 27 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 28 59 0 17 Jul 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
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning Ting Yao Yingwei Pan Yehao Li Chong-Wah Ngo Tao Mei ViT 144 136 0 11 Jul 2022
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling He Ma Li Zhang Xiatian Zhu Jianfeng Feng DiffM 79 25 0 05 Jul 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 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
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016