Deep learning based methods for single-image super-resolution (SR) have ...
We propose an auto-encoder architecture for multi-texture synthesis. The...
Attention mechanisms have become of crucial importance in deep learning ...
We propose a novel architecture for GAN inversion, which we call
Feature...
Large scale datasets created from crowdsourced labels or openly availabl...
High quality facial image editing is a challenging problem in the movie
...
Transfer learning from huge natural image datasets, fine-tuning of deep
...
The field of texture synthesis has witnessed important progresses over t...
Weakly supervised object detection (WSOD) using only image-level annotat...
Face age editing has become a crucial task in film post-production, and ...
Large scale datasets created from user labels or openly available data h...
Image synthesis is a core problem in modern deep learning, and many rece...
The Copernicus Sentinel-2 program now provides multispectral images at a...
Change detection is one of the main problems in remote sensing, and is
e...
We propose a method for the weakly supervised detection of objects in
pa...
Recently, impressive denoising results have been achieved by Bayesian
ap...
We propose an automatic video inpainting algorithm which relies on the
o...