Fashion Synthesis
6 papers with code • 0 benchmarks • 1 datasets
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Most implemented papers
Spatially Constrained GAN for Face and Fashion Synthesis
Besides, a segmentor network is constructed to impose spatial constraints on the generator.
Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis
We present Poly-GAN, a novel conditional GAN architecture that is motivated by Fashion Synthesis, an application where garments are automatically placed on images of human models at an arbitrary pose.
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks.
SGDiff: A Style Guided Diffusion Model for Fashion Synthesis
This paper reports on the development of \textbf{a novel style guided diffusion model (SGDiff)} which overcomes certain weaknesses inherent in existing models for image synthesis.
HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models
Fashion design is a challenging and complex process. Recent works on fashion generation and editing are all agnostic of the actual fashion design process, which limits their usage in practice. In this paper, we propose a novel hierarchical diffusion-based framework tailored for fashion design, coined as HieraFashDiff.
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
Virtual try-on methods based on diffusion models achieve realistic try-on effects but often replicate the backbone network as a ReferenceNet or use additional image encoders to process condition inputs, leading to high training and inference costs.