Diffusion Models Are Innate One-Step Generators

Diffusion Models Are Innate One-Step Generators

31 May 2024

Papers citing "Diffusion Models Are Innate One-Step Generators"

11 / 11 papers shown

Title
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Xuan Li Jun Zhu Qinsheng Zhang DiffM 49 0 0 03 Mar 2025
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models Weijian Luo C. Zhang Debing Zhang Zhengyang Geng 28 3 0 28 Oct 2024
Flow Generator Matching Zemin Huang Zhengyang Geng Weijian Luo Guo-jun Qi 35 8 0 25 Oct 2024
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences Weijian Luo EGVM 36 6 0 24 Oct 2024
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step Mingyuan Zhou Huangjie Zheng Yi Gu Zhendong Wang Hai Huang DiffM 52 4 0 19 Oct 2024
E1 TTS: Simple and Fast Non-Autoregressive TTS Zhijun Liu Shuai Wang Pengcheng Zhu Mengxiao Bi Haizhou Li VLM DiffM 38 3 0 14 Sep 2024
Self-Improving Diffusion Models with Synthetic Data Sina Alemohammad Ahmed Imtiaz Humayun S. Agarwal John Collomosse Richard G. Baraniuk 28 11 0 29 Aug 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou Huangjie Zheng Zhendong Wang Mingzhang Yin Hai Huang DiffM 49 50 0 05 Apr 2024
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 124 219 0 30 Nov 2023
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 300 75,834 0 18 May 2015