most citedPrompt-based Ingredient-Oriented All-in-One Image Restoration

38 citations · 80 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 38 cited

Prompt-based Ingredient-Oriented All-in-One Image Restoration

Hu Gao, Depeng Dang

Image restoration aims to recover the high-quality images from their degraded observations. Since most existing methods have been dedicated into single degradation removal, they ma…

cs.CV2023★ 11 cited

A Mountain-Shaped Single-Stage Network for Accurate Image Restoration

Hu Gao, Jing Yang, Ying Zhang +3

Image restoration is the task of aiming to obtain a high-quality image from a corrupt input image, such as deblurring and deraining. In image restoration, it is typically necessary…

cs.CV2023★ 19 cited

SU-Net: Pose estimation network for non-cooperative spacecraft on-orbit

Hu Gao, Zhihui Li, Depeng Dang +2

Spacecraft pose estimation plays a vital role in many on-orbit space missions, such as rendezvous and docking, debris removal, and on-orbit maintenance. At present, space images co…

eess.IV2023

Generative Adversarial Network for Personalized Art Therapy in Melanoma Disease Management

Lennart Jütte, Ning Wang, Bernhard Roth

Melanoma is the most lethal type of skin cancer. Patients are vulnerable to mental health illnesses which can reduce the effectiveness of the cancer treatment and the patients adhe…

cs.LG2023★ 12 cited

Reentry Risk and Safety Assessment of Spacecraft Debris Based on Machine Learning

Hu Gao, Zhihui Li, Depeng Dang +2

Uncontrolled spacecraft will disintegrate and generate a large amount of debris in the reentry process, and ablative debris may cause potential risks to the safety of human life an…