Chen Henry Wu

Affiliations

Carnegie Mellon University

papers

398

total citations

papers (10)

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models

NEURIPS 2022arXiv

citations

OpenCUA: Open Foundations for Computer-Use Agents

NEURIPS 2025arXiv

citations

Zero-Shot Model Diagnosis

CVPR 2023arXiv

citations

Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction

ICML 2025arXiv

citations

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting

ICCV 2023arXiv

citations

Domain Gap Embeddings for Generative Dataset Augmentation

CVPR 2024

citations

A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance

ICCV 2023

citations

Chen Henry Wu

Affiliations

papers (10)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Dissecting Adversarial Robustness of Multimodal LM Agents

ITI-GEN: Inclusive Text-to-Image Generation

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models

OpenCUA: Open Foundations for Computer-Use Agents

Zero-Shot Model Diagnosis

Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting

Domain Gap Embeddings for Generative Dataset Augmentation

A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance

papers (10)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Dissecting Adversarial Robustness of Multimodal LM Agents

ITI-GEN: Inclusive Text-to-Image Generation

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models

OpenCUA: Open Foundations for Computer-Use Agents

Zero-Shot Model Diagnosis

Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting

Domain Gap Embeddings for Generative Dataset Augmentation

A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance