Kimberly (Wei-Lin) Hsiao

I work on image generation and editing @ Playground AI

PhD in Computer Science from UT Austin

Kimberly Hsiao

About Me

I'm currently a Research Scientist at Playground AI, where I work on image generation and image editing.
Before that, I was at Facebook AI Research (FAIR) and Amazon working on various topics in computer vision.
I received my PhD in Computer Science from UT Austin.

Education

PhD in Computer Science

University of Texas at Austin

Advisor: Kristen Grauman

2015 - 2021

BS in Electrical Engineering

National Taiwan University

2011 - 2015

Work Experience

Playground AI

2024 - Present

Research Scientist

I lead the development of Playground AI's image editing models.

Project details

Amazon

2021 - 2024

Applied Scientist

Worked on diffusion models for virtual try-on.

Project details

Facebook AI Research (FAIR)

2020 - 2021

Visiting Researcher

Worked with Kristen Grauman on projected related to fashion images (CVPR 2020 & ICCV 2021).

Publications

Facebook AI Research (FAIR)

2018

Research Intern

Worked with Kristen Grauman, Devi Parikh, and Chao-Yuan Wu on Fashion++ (ICCV 2019).

Project details

Honors & Media Coverage

MIT EECS

Rising Star in EECS 2020

2020 View Award

CVPR Daily 2020

"Dressing for Diverse Body Shapes"

2020 Read Article

TechXplore

"Facebook zeroes in on tourist photography habits"

2020 Read Article

WWD

"Inside Facebook's Bid to Crack the Fashion AI Code"

2020 Read Article

WIRED

"Skirt or Jeans? Now an AI Can Offer You Styling Tips"

2019 Read Article

VentureBeat

"Fashion++ turns your fashion Don't into a Do with minimal tweaks"

2019 Read Article

Vogue

"Facebook experiments with AI-powered styling program"

2019 Read Article

Engadget

"Facebook's latest AI experiment helps you pick what to wear"

2019 Read Article

UT-Austin News (Science & Tech)

"Artificial Intelligence System Gives Fashion Advice"

2019 Read Article

Selected Projects

Image Editing Models for Graphic Design

2024 - Present

Developing state-of-the-art image generation models using multimodal large language models (MLLM) and diffusion models. My work focuses on a unified model for comprehensive image generation and editing.

Diffusion Models for Virtual Try-on

2021-2024

Developed diffusion models for accurately synthesizing clothing on human images with diverse body shapes.

Style Transfer & Synthesis

2019

Developed techniques for improving an outfit's fashion style and creating synthetic content that makes minmal adjustment to the existing style while improving its fashionability through advanced computer vision algorithms.
Results published in ICCV 2019.

Selected Publications

2021

From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images

W-L. Hsiao, K. Grauman

International Conference on Computer Vision (ICCV), 2021

2020

ViBE: Dressing for Diverse Body Shapes

W-L. Hsiao, K. Grauman

Computer Vision and Pattern Recognition (CVPR), 2020

2019

Fashion++: Minimal Edits for Outfit Improvement

W-L. Hsiao, I. Katsman*, C-Y. Wu*, D. Parikh, K. Grauman

International Conference on Computer Vision (ICCV), 2019

2018

Creating Capsule Wardrobes From Fashion Images

W-L. Hsiao, K. Grauman

Computer Vision and Pattern Recognition (CVPR), 2018

2017

Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images

W-L. Hsiao, K. Grauman

International Conference on Computer Vision (ICCV), 2017

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