Multimodal image synthesis and editing: A survey and taxonomy
As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …
among multimodal information plays a key role for the creation and perception of multimodal …
[PDF][PDF] Controlling vision-language models for universal image restoration
Vision-language models such as CLIP have shown great impact on diverse downstream
tasks for zero-shot or label-free predictions. However, when it comes to low-level vision such …
tasks for zero-shot or label-free predictions. However, when it comes to low-level vision such …
Controlling vision-language models for multi-task image restoration
Vision-language models such as CLIP have shown great impact on diverse downstream
tasks for zero-shot or label-free predictions. However, when it comes to low-level vision such …
tasks for zero-shot or label-free predictions. However, when it comes to low-level vision such …
Responsible visual editing
With the recent advancements in visual synthesis, there is a growing risk of encountering
synthesized images with detrimental effects, such as hate, discrimination, and privacy …
synthesized images with detrimental effects, such as hate, discrimination, and privacy …
Deep learning-based image and video inpainting: A survey
Image and video inpainting is a classic problem in computer vision and computer graphics,
aiming to fill in the plausible and realistic content in the missing areas of images and videos …
aiming to fill in the plausible and realistic content in the missing areas of images and videos …
Vision+ language applications: A survey
Text-to-image generation has attracted significant interest from researchers and practitioners
in recent years due to its widespread and diverse applications across various industries …
in recent years due to its widespread and diverse applications across various industries …
Leveraging vision-language prompts for real-world image restoration and enhancement
Significant advancements have been made in image restoration methods aimed at removing
adverse weather effects. However, due to natural constraints, it is challenging to collect real …
adverse weather effects. However, due to natural constraints, it is challenging to collect real …
Architext: Language-driven generative architecture design
Architectural design is a highly complex practice that involves a wide diversity of disciplines,
technologies, proprietary design software, expertise, and an almost infinite number of …
technologies, proprietary design software, expertise, and an almost infinite number of …
Sair: Learning semantic-aware implicit representation
Implicit representation of an image can map arbitrary coordinates in the continuous domain
to their corresponding color values, presenting a powerful capability for image …
to their corresponding color values, presenting a powerful capability for image …
Image inpainting by bidirectional information flow on texture and structure
J Lian, J Zhang, H Zhang, Y Chen, J Zhang, J Liu - Signal Processing, 2025 - Elsevier
Image inpainting aims to recover damaged regions of a corrupted image and maintain the
integrity of the structure and texture within the filled regions. Previous popular approaches …
integrity of the structure and texture within the filled regions. Previous popular approaches …