In the last few years, Neural Painting (NP) techniques became capable of...
Have you ever imagined how it would look if we placed new objects into
p...
Text-to-image (T2I) research has grown explosively in the past year, owi...
Recently, CLIP-guided image synthesis has shown appealing performance on...
The unlearning problem of deep learning models, once primarily an academ...
The recent advances in diffusion models have set an impressive milestone...
Image generation has been a long sought-after but challenging task, and
...
Image completion with large-scale free-form missing regions is one of th...
Image rasterization is a mature technique in computer graphics, while im...
The recent success of NeRF and other related implicit neural representat...
Text segmentation is a prerequisite in many real-world text-related task...
The first Agriculture-Vision Challenge aims to encourage research in
dev...
Most of the modern instance segmentation approaches fall into two catego...
The success of deep learning in visual recognition tasks has driven
adva...