Flow-based propagation and spatiotemporal Transformer are two mainstream...
We present a novel approach to leverage prior knowledge encapsulated in
...
Diffusion models arise as a powerful generative tool recently. Despite t...
Many applications can benefit from personalized image generation models,...
This paper proposes a method for generating images of customized objects...
Diffusion models gain increasing popularity for their generative
capabil...
Reference-based Super-Resolution (Ref-SR) has recently emerged as a prom...
We show that pre-trained Generative Adversarial Networks (GANs) such as
...
Measuring the perception of visual content is a long-standing problem in...
Blind face restoration is a highly ill-posed problem that often requires...
The exploitation of long-term information has been a long-standing probl...
The diversity and complexity of degradations in real-world video
super-r...
Video colorization is a challenging and highly ill-posed problem. Althou...
Reference-based Super-Resolution (Ref-SR) has recently emerged as a prom...
A recurrent structure is a popular framework choice for the task of vide...
This paper reviews the first NTIRE challenge on quality enhancement of
c...
We show that pre-trained Generative Adversarial Networks (GANs), e.g.,
S...
Video restoration tasks, including super-resolution, deblurring, etc, ar...