Recent years have seen a substantial increase in interest in deepfakes, a fast-develo**
field at the nexus of artificial intelligence and multimedia. These artificial media creations …

The mushroomed Deepfake synthetic materials circulated on the internet have raised a
profound social impact on politicians, celebrities, and individuals worldwide. In this survey …

The great advancements of generative adversarial networks and face recognition models in
computer vision have made it possible to swap identities on images from single sources …

Numerous attempts have been made to the task of person-agnostic face swap** given its
wide applications. While existing methods mostly rely on tedious network and loss designs …

This paper presents a novel Region-Aware Face Swap** (RAFSwap) network to achieve
identity-consistent harmonious high-resolution face generation in a local-global manner: 1) …

Face swap** has drawn a lot of attention for its compelling performance. However, current
deepfake methods suffer the effects of obscure workflow and poor performance. To solve …

In this paper, we propose DiffSwap, a diffusion model based framework for high-fidelity and
controllable face swap**. Unlike previous work that relies on carefully designed network …