Wonwoong Cho

Computer Science · Purdue University West Lafayette

Early career · publishing since 2018

Generative Adversarial Networks and Image Synthesis Aesthetic Perception and Analysis Advanced Vision and Imaging Advanced Image Processing Techniques Domain Adaptation and Few-Shot Learning

Publications

Citations

161

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2018

Research summary

AI-generated

Wonwoong Cho's research focuses on generative image models, particularly image-to-image translation, diffusion models, and text-guided image generation and colorization. The work explores how to make these AI image-generation systems more controllable, precise, and able to combine or transform visual attributes (like color, style, or facial features) based on text or example inputs.

Generative image models (GANs and diffusion models)Image-to-image translation and style transferText-guided image generation and colorizationControllability and disentanglement of visual attributesDistribution alignment and dataset comparison methods

Publication output was highest around 2018-2019 and has since slowed to roughly one to two outputs per year through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 1.2/year recently

Recent publications

Att-Adapter: a Robust and Precise Domain-Specific Multi-Attributes T2i Diffusion Adapter Via Conditional Variational Autoencoder
2025
Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention
arXiv (Cornell University) · 2025
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
Lecture notes in computer science · 2024
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
arXiv (Cornell University) · 2023
Cooperative Distribution Alignment via JSD Upper Bound
arXiv (Cornell University) · 2022
Cooperative Distribution Alignment Via JSD Upper Bound
2022
Why be adversarial? Let's cooperate!: Cooperative Dataset Alignment via JSD Upper Bound
International Conference on Machine Learning · 2021
StyleUV: Diverse and High-fidelity UV Map Generative Model
arXiv (Cornell University) · 2020
Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline
arXiv (Cornell University) · 2020
A Comparison of the Effects of Data Imputation Methods on Model Performance
2019
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation
2019
Unpaired Image Translation via Adaptive Convolution-based Normalization
arXiv (Cornell University) · 2019
What and Where to Translate: Local Mask-based Image-to-Image Translation
arXiv (Cornell University) · 2019
Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation
Lecture notes in computer science · 2018
Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation.
arXiv (Cornell University) · 2018

Publishes in

arXiv (Cornell University)×10
Lecture notes in computer science×2
International Conference on Machine Learning×1

Similar researchers

By research-topic overlap

Yue Han
Computer Science · Purdue University West Lafayette
Shu Hu
Computer Science · Purdue University West Lafayette
David I. Inouye
Computer Science · Purdue University West Lafayette
Peizhong Ju
Computer Science · The Ohio State University
Vibhas Vats
Computer Science · Indiana University

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

Claim or correct this profile