On quantifying and improving realism of images generated with diffusion

26 September 2023

Papers citing "On quantifying and improving realism of images generated with diffusion"

9 / 9 papers shown

Title
Diffusion Models Through a Global Lens: Are They Culturally Inclusive? Zahra Bayramli Ayhan Suleymanzade Na Min An Huzama Ahmad Eunsu Kim Junyeong Park James Thorne Alice H. Oh 89 0 0 13 Feb 2025
The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods Linda Laurier Ave Giulietta Arlo Octavia Meade Cleti 45 3 0 24 Oct 2024
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation Minhyuk Seo Diganta Misra Seongwon Cho Minjae Lee Jonghyun Choi CLL 33 6 0 16 Mar 2024
Exploring the Naturalness of AI-Generated Images Zijian Chen Wei Sun Haoning Wu Zicheng Zhang Jun Jia ... Fengyu Sun Shangling Jui Xiongkuo Min Guangtao Zhai Wenjun Zhang 11 19 0 09 Dec 2023
Discovering the Hidden Vocabulary of DALLE-2 Giannis Daras A. Dimakis 122 64 0 01 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 171 49 0 30 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection D. Cozzolino Giovanni Poggi L. Verdoliva 101 324 0 14 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014