换装与姿态
Clothe and Pose
把「换装」与「姿态重定向」合并为单一条件生成任务，输入单张人像、多件服装图和目标姿态，输出同时满足服装与姿态约束的人体图像；其评测框架对做虚拟试衣和姿态迁移的研究者可直接复用，用于联合评估服装保真度与姿态一致性。
原文依据 takes a single user image, a set of garment images, and a reference pose as input
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论我们提出「换装与姿态」，这是一个图像生成与编辑任务，使用户能够在试穿服装的同时摆出任意期望的姿态。我们的方法以单张用户图像、一组服装图像和一个参考姿态为输入，输出用户穿着目标服装并处于指定姿态的图像。我们还提出了一个面向换装与姿态重定向任务的评测框架。我们的研究涵盖多种服装——包括运动服、下装、连衣裙、内衣和泳装——以及多种姿态。最后，我们展示了「换装与姿态」在真实拍摄图像和合成图像上用于以人为中心的编辑的实用性。
英文原文摘要 663 字符
We introduce Clothe and Pose, an image generation and editing task that enables users to try on garments while simultaneously adopting any desired pose. Our method takes a single user image, a set of garment images, and a reference pose as input, and outputs the user wearing the target garment in the specified pose. We also propose an evaluation framework for clothing and re-posing tasks. Our study encompasses a wide variety of garments--including athletic wear, bottoms, dresses, innerwear, and swimwear--across diverse poses. Finally, we demonstrate the utility of Clothe and Pose for human-centric editing on both real-world captures and synthetic imagery.