Rich human feedback for text-to-image generation
Abstract Recent Text-to-Image (T2I) generation models such as Stable Diffusion and Imagen
have made significant progress in generating high-resolution images based on text …
have made significant progress in generating high-resolution images based on text …
Detecting multimedia generated by large ai models: A survey
The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large
language models, has marked a new era where AI-generated multimedia is increasingly …
language models, has marked a new era where AI-generated multimedia is increasingly …
Adaptive variational decomposition for water-related optical image enhancement
Underwater images suffer from blurred details and color distortion due to light attenuation
from scattering and absorption. Current underwater image enhancement (UIE) methods …
from scattering and absorption. Current underwater image enhancement (UIE) methods …
Evaluating Text to Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Recent advances in text-to-image synthesis have been enabled by exploiting a combination
of language and vision through foundation models. These models are pre-trained on …
of language and vision through foundation models. These models are pre-trained on …
Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
Artifact-free super-resolution (SR) aims to translate low-resolution images into their high-
resolution counterparts with a strict integrity of the original content eliminating any distortions …
resolution counterparts with a strict integrity of the original content eliminating any distortions …
A survey of defenses against ai-generated visual media: Detection, disruption, and authentication
Deep generative models have demonstrated impressive performance in various computer
vision applications, including image synthesis, video generation, and medical analysis …
vision applications, including image synthesis, video generation, and medical analysis …
Study of Subjective and Objective Naturalness Assessment of AI-Generated Images
The proliferation of Artificial Intelligence-Generated Images (AIGIs) has greatly expanded the
Image Naturalness Assessment (INA) problem. Different from early definitions that mainly …
Image Naturalness Assessment (INA) problem. Different from early definitions that mainly …
Multi-domain conditional prior network for water-related optical image enhancement
T Wei, D Zhang, Z He, R Zhou, X Meng - Computer Vision and Image …, 2025 - Elsevier
Water-related optical image enhancement improves the perception of information for human
and machine vision, facilitating the development and utilization of marine resources. Due to …
and machine vision, facilitating the development and utilization of marine resources. Due to …
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
The rapid advancement of generative models in creating highly realistic images poses
substantial risks for misinformation dissemination. For instance, a synthetic image, when …
substantial risks for misinformation dissemination. For instance, a synthetic image, when …
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
Personalized image generation has emerged from the recent advancements in generative
models. However, these generated personalized images often suffer from localized artifacts …
models. However, these generated personalized images often suffer from localized artifacts …