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We present a novel method for 3D scene editing using diffusion models, designed to ensure view consistency and realism across perspectives. Our approach leverages attention features extracted from a single reference image to define the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Eyal Gomel , Lior Wolf

Video virtual try-on aims to replace the clothing of a person in a video with a target garment. Current dual-branch architectures have achieved significant success in diffusion models based on the U-Net; however, adapting them to diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Yanjie Pan , Qingdong He , Lidong Wang , Bo Peng , Mingmin Chi

Image visual try-on aims at transferring a target clothing image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the character of a clothing image (e.g. texture, logo, embroidery)…

Computer Vision and Pattern Recognition · Computer Science 2020-03-13 Han Yang , Ruimao Zhang , Xiaobao Guo , Wei Liu , Wangmeng Zuo , Ping Luo

Face reenactment aims to generate realistic talking head videos by transferring motion from a driving video to a static source image while preserving the source identity. Although existing methods based on either implicit or explicit…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Mingtao Guo , Guanyu Xing , Yanci Zhang , Yanli Liu

Virtual 3D try-on can provide an intuitive and realistic view for online shopping and has a huge potential commercial value. However, existing 3D virtual try-on methods mainly rely on annotated 3D human shapes and garment templates, which…

Computer Vision and Pattern Recognition · Computer Science 2021-08-12 Fuwei Zhao , Zhenyu Xie , Michael Kampffmeyer , Haoye Dong , Songfang Han , Tianxiang Zheng , Tao Zhang , Xiaodan Liang

Despite the impressive generative capabilities of diffusion models, existing diffusion model-based style transfer methods require inference-stage optimization (e.g. fine-tuning or textual inversion of style) which is time-consuming, or…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Jiwoo Chung , Sangeek Hyun , Jae-Pil Heo

Video Virtual Try-On (VVT) aims to seamlessly replace a garment on a person in a video with a new one. While existing methods have made significant strides in maintaining temporal consistency, they are predominantly confined to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Jun Zheng , Zhengze Xu , Mengting Chen , Jing Wang , Jinsong Lan , Xiaoyong Zhu , Kaifu Zhang , Bo Zheng , Xiaodan Liang

Virtual try-on aims to generate a photo-realistic fitting result given an in-shop garment and a reference person image. Existing methods usually build up multi-stage frameworks to deal with clothes warping and body blending respectively, or…

Computer Vision and Pattern Recognition · Computer Science 2022-07-20 Shuai Bai , Huiling Zhou , Zhikang Li , Chang Zhou , Hongxia Yang

Fashion image editing aims to modify a person's appearance based on a given instruction. Existing methods require auxiliary tools like segmenters and keypoint extractors, lacking a flexible and unified framework. Moreover, these methods are…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Yunfang Niu , Lingxiang Wu , Dong Yi , Jie Peng , Ning Jiang , Haiying Wu , Jinqiao Wang

We present M&M VTO, a mix and match virtual try-on method that takes as input multiple garment images, text description for garment layout and an image of a person. An example input includes: an image of a shirt, an image of a pair of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Luyang Zhu , Yingwei Li , Nan Liu , Hao Peng , Dawei Yang , Ira Kemelmacher-Shlizerman

Video personalization aims to generate videos that faithfully reflect a user-provided subject while following a text prompt. However, existing approaches often rely on heavy video-based finetuning or large-scale video datasets, which impose…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Hyunkoo Lee , Wooseok Jang , Jini Yang , Taehwan Kim , Sangoh Kim , Sangwon Jung , Seungryong Kim

The rapid evolution of the fashion industry increasingly intersects with technological advancements, particularly through the integration of generative AI. This study introduces a novel generative pipeline designed to transform the fashion…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Abhishek Kumar Singh , Ioannis Patras

Image-to-image translation aims to learn a mapping between a source and a target domain, enabling tasks such as style transfer, appearance transformation, and domain adaptation. In this work, we explore a diffusion-based framework for…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Qiang Zhu , Kuan Lu , Menghao Huo , Yuxiao Li

Accurate and controllable image editing is a challenging task that has attracted significant attention recently. Notably, DragGAN is an interactive point-based image editing framework that achieves impressive editing results with…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Yujun Shi , Chuhui Xue , Jun Hao Liew , Jiachun Pan , Hanshu Yan , Wenqing Zhang , Vincent Y. F. Tan , Song Bai

Despite its great potential, virtual try-on technology is hindered from real-world application by two major challenges: the inability of current methods to support multi-reference outfit compositions (including garments and accessories),…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Zheng Chong , Yanwei Lei , Shiyue Zhang , Zhuandi He , Zhen Wang , Xujie Zhang , Xiao Dong , Yiling Wu , Dongmei Jiang , Xiaodan Liang

Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. Yet, as most try-on approaches fit in-shop garments onto a target person, they require the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Zhenyu Xie , Zaiyu Huang , Fuwei Zhao , Haoye Dong , Michael Kampffmeyer , Xiaodan Liang

Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet important for dynamic appearance modeling and physics parameter estimation from real-world data. However, previous methods either rely on texture…

Computer Vision and Pattern Recognition · Computer Science 2023-11-13 Jingfan Guo , Fabian Prada , Donglai Xiang , Javier Romero , Chenglei Wu , Hyun Soo Park , Takaaki Shiratori , Shunsuke Saito

Fashion illustration is a crucial medium for designers to convey their creative vision and transform design concepts into tangible representations that showcase the interplay between clothing and the human body. In the context of fashion…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Alberto Baldrati , Davide Morelli , Marcella Cornia , Marco Bertini , Rita Cucchiara

Human body restoration plays a vital role in various applications related to the human body. Despite recent advances in general image restoration using generative models, their performance in human body restoration remains mediocre, often…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Yiming Zhang , Zhe Wang , Xinjie Li , Yunchen Yuan , Chengsong Zhang , Xiao Sun , Zhihang Zhong , Jian Wang

Face swapping aims to seamlessly transfer a source facial identity onto a target while preserving target attributes such as pose and expression. Diffusion models, known for their superior generative capabilities, have recently shown promise…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Dailan He , Xiahong Wang , Shulun Wang , Guanglu Song , Bingqi Ma , Hao Shao , Yu Liu , Hongsheng Li