Summary of Enhancing Neural Network Representations with Prior Knowledge-based Normalization, by Bilal Faye et al.
Enhancing Neural Network Representations with Prior Knowledge-Based Normalizationby Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel…
Enhancing Neural Network Representations with Prior Knowledge-Based Normalizationby Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel…
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generationby Yingshan Chang, Yasi Zhang, Zhiyuan…
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuningby Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi,…
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Scienceby Sebastian Bischoff,…
Understanding Diffusion Models by Feynman’s Path Integralby Yuji Hirono, Akinori Tanaka, Kenji FukushimaFirst submitted to…
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversionby Xiaoyu Wu, Yang Hua,…
Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generationby…
LightIt: Illumination Modeling and Control for Diffusion Modelsby Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias…
Denoising Task Difficulty-based Curriculum for Training Diffusion Modelsby Jin-Young Kim, Hyojun Go, Soonwoo Kwon, Hyun-Gyoon…
An Analysis of Human Alignment of Latent Diffusion Modelsby Lorenz Linhardt, Marco Morik, Sidney Bender,…