Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
In this paper, we introduce attribute-aware fashion-editing, a novel task, to the fashion domain. We re-define the overall objectives in AttGAN and propose the Fashion-AttGAN model for this new task. A dataset is constructed for this task with 14,221 and 22 attributes, which has been made publically available. Experimental results show the effectiveness of our Fashion-AttGAN on fashion editing over the original AttGAN.
Code (4)
Tasks
AttributeSimilar Papers 제목 키워드 기반
Garment Design with Generative Adversarial Networks
The designers' tendency to adhere to a specific mental set and heavy emotional investment in their initial ideas often hinder their ability to innovate during the design thinking and ideation process. In the fashion indu…
AttributeDiversityEditGarment: An Instruction-Based Garment Editing Dataset Constructed with Automated MLLM Synthesis and Semantic-Aware Evaluation
Instruction-based garment editing enables precise image modifications via natural language, with broad applications in fashion design and customization. Unlike general editing tasks, it requires understanding garment-spe…
TD-GEM: Text-Driven Garment Editing Mapper
Language-based fashion image editing allows users to try out variations of desired garments through provided text prompts. Inspired by research on manipulating latent representations in StyleCLIP and HairCLIP, we focus o…
AttributeGenerative Adversarial NetworkLeveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Fashion attribute editing is a task that aims to convert the semantic attributes of a given fashion image while preserving the irrelevant regions. Previous works typically employ conditional GANs where the generator expl…
AttributeImage ManipulationAttGAN: Facial Attribute Editing by Only Changing What You Want
Facial attribute editing aims to manipulate single or multiple attributes of a face image, i.e., to generate a new face with desired attributes while preserving other details. Recently, generative adversarial net (GAN) a…
AttributeDecoder