Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …

This paper aims to resolve the challenging problem of wide-angle novel view synthesis from
a single image, aka wide-angle 3D photography. Existing approaches rely on local context …

Multi-view (or-modality) representation learning aims to understand the relationships
between different view representations. Existing methods disentangle multi-view …

Face recognition from side‐view positions poses a considerable challenge in automatic face
recognition tasks. Pose variation up to the side‐view is an issue of difference in appearance …

In recent studies, the generalization of neural radiance fields for novel view synthesis task
has been widely explored. However, existing methods are limited to objects and indoor …

Despite encouraging progress in deepfake detection, generalization to unseen forgery types
remains a significant challenge due to the limited forgery clues explored during training. In …

Photorealistic multiview face synthesis from a single image is a challenging problem.
Existing works mainly learn a texture mapping model from the source to the target faces …

We introduce the Self-Exemplar Illumination Equalization Network, designed specifically for
effective portrait shadow removal. The core idea of our method is that partially shadowed …

Multi-view generation from a given single view is a significant, yet challenging problem with
broad applications in the field of virtual reality and robotics. Existing methods mainly utilize …

SAR images possess unique attributes that present challenges for both human observers
and vision AI models to interpret, owing to their electromagnetic characteristics. The …