Few-Shot Head Swapping in the Wild

TL;DR

This paper introduces HeSer, a novel few-shot head swapping method that effectively aligns pose and expression while seamlessly blending heads onto different bodies in diverse scenes.

Contribution

The paper presents two innovative modules, Head2Head Aligner and Head2Scene Blender, for robust few-shot head swapping in the wild, addressing pose, expression, skin color, and background mismatches.

Findings

Achieves superior head swapping quality in various scenes.

Effectively handles pose, expression, and background mismatches.

Demonstrates robustness in wild, real-world scenarios.

Abstract

The head swapping task aims at flawlessly placing a source head onto a target body, which is of great importance to various entertainment scenarios. While face swapping has drawn much attention, the task of head swapping has rarely been explored, particularly under the few-shot setting. It is inherently challenging due to its unique needs in head modeling and background blending. In this paper, we present the Head Swapper (HeSer), which achieves few-shot head swapping in the wild through two delicately designed modules. Firstly, a Head2Head Aligner is devised to holistically migrate pose and expression information from the target to the source head by examining multi-scale information. Secondly, to tackle the challenges of skin color variations and head-background mismatches in the swapping procedure, a Head2Scene Blender is introduced to simultaneously modify facial skin color and fill mismatched gaps in the background around the head. Particularly, seamless blending is achieved with the help of a Semantic-Guided Color Reference Creation procedure and a Blending UNet. Extensive experiments demonstrate that the proposed method produces superior head swapping results in a variety of scenes.