ACT-Diffusion: Efficient Adversarial Consistency Training for One-step
Diffusion Models

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

23 November 2023

Renjing Xu

Papers citing "ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models"

4 / 4 papers shown

Title
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 25 2 0 04 Mar 2024
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model Hao-Ran Cheng Erjia Xiao Jindong Gu Le Yang Jinhao Duan Jize Zhang Jiahang Cao Kaidi Xu Renjing Xu 29 6 0 29 Feb 2024
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 485 0 01 Feb 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 211 1,330 0 24 Jan 2022