Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning

2 November 2023

Papers citing "Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning"

4 / 4 papers shown

Title
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance Jiwan Hur Dong-Jae Lee Gyojin Han Jaehyun Choi Yunho Jeon Junmo Kim DiffM 25 0 0 17 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 58 2 0 01 Oct 2024
Deepfake Generation and Detection: A Benchmark and Survey Gan Pei Jiangning Zhang Menghan Hu Zhenyu Zhang Chengjie Wang Yunsheng Wu Guangtao Zhai Jian Yang Chunhua Shen Dacheng Tao 38 25 0 26 Mar 2024
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018