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Not stated in source 2025 Needs review

Image restoration and representation with deep generative models

Author
Yufei Wang
University
Nanyang Technological University
Country
Singapore
Main specialisation
Computer Vision › Image Segmentation

A fundamental challenge in the realm of computer vision lies in accurately modeling/characterizing image distributions. For example, in high-level vision tasks, better representations of images in the latent space can significantly enhance downstream processes…

Not stated in source 2025 Needs review

Generative Models from the Inside: a journey through properties and applications

Author
Barbara Toniella Corradini
University
University of Florence
Country
Italy
Main specialisation
Natural Language Processing › Large Language Models

Generative Artificial Intelligence (Gen-AI) is a rapidly evolving field focused on developing models that can generate realistic and novel content, from text to images. Recent advancements such as ChatGPT and DALL-E have revolutionized domains like Natural Lan…

Not stated in source 2025 Needs review

Adversarial signals against discriminative and generative models for data protections

Author
Mingzhi Lyu
University
Nanyang Technological University
Country
Singapore
Main specialisation
Computer Vision › Diffusion Models

In recent years, discriminative and generative models have been widely adopted across a broad range of applications—including classification, detection, image synthesis, and editing—significantly enhancing productivity and creativity in various domains. Howeve…

Not stated in source 2024 Needs review

Improve the efficiency of conditional generative models

Author
Yanwu Xu
University
Boston University
Country
United States
Main specialisation
AI in Healthcare › Medical Image Analysis

Deep generative models have undergone significant advancements, enabling the production of high-fidelity data across various fields, including computer vision and medical imaging. The availability of paired annotations facilitates a controllable generative pro…

Not stated in source 2023 Needs review Available

Privacy Attacks and Protection in Generative Models

Author
HU, Hailong
University
University of Luxembourg
Country
Luxembourg
Main specialisation
Generative AI › GANs

Recent years have witnessed the tremendous success of generative models in data synthesis. Typically, a well-trained model itself and its training set constitute key assets for model owners, which allows technology companies to gain a leading position in the g…