Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and …
Image fusion aims to integrate complementary characteristics of source images into a single
fused image that better serves human visual observation and machine vision perception …
fused image that better serves human visual observation and machine vision perception …
Blind face restoration via integrating face shape and generative priors
Blind face restoration, which aims to reconstruct high-quality images from low-quality inputs,
can benefit many applications. Although existing generative-based methods achieve …
can benefit many applications. Although existing generative-based methods achieve …
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 …
Zits++: Image inpainting by improving the incremental transformer on structural priors
Image inpainting involves filling missing areas of a corrupted image. Despite impressive
results have been achieved recently, restoring images with both vivid textures and …
results have been achieved recently, restoring images with both vivid textures and …
Don't forget me: accurate background recovery for text removal via modeling local-global context
Text removal has attracted increasingly attention due to its various applications on privacy
protection, document restoration, and text editing. It has shown significant progress with …
protection, document restoration, and text editing. It has shown significant progress with …
Hierarchical damage correlations for old photo restoration
Restoring old photographs can preserve cherished memories. Previous methods handled
diverse damages within the same network structure, which proved impractical. In addition …
diverse damages within the same network structure, which proved impractical. In addition …
Contextual-assisted scratched photo restoration
Printed photographs can be easily warped, wrinkled, and even deteriorated over time.
Existing methods treat the restoration of scratches as a pure inpainting problem that neglects …
Existing methods treat the restoration of scratches as a pure inpainting problem that neglects …
Anoleaf: Unsupervised leaf disease segmentation via structurally robust generative inpainting
Plant diseases severely limits agriculture production, necessitating the high-throughput
monitoring of plant leaves. Currently, this is formulated as an automatic disease …
monitoring of plant leaves. Currently, this is formulated as an automatic disease …
Plant Disease Detection Using Self-supervised Learning: A Systematic Review
Agriculture has a crucial role in both the economy and food supply. However, the frequent
occurrence of plant diseases can have a significant negative influence on the production of …
occurrence of plant diseases can have a significant negative influence on the production of …
UrbanEvolver: function-aware urban layout regeneration
Urban regeneration is an important strategy for land redevelopment, to address the urban
decay in cities. Among many tasks, urban layout is the foundation for urban regeneration. In …
decay in cities. Among many tasks, urban layout is the foundation for urban regeneration. In …