Tao Yang

papers

1,086

total citations

papers (14)

GAN Prior Embedded Network for Blind Face Restoration in the Wild

CVPR 2021arXiv

341

citations

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

CVPR 2024arXiv

274

citations

Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

ECCV 2024arXiv

249

citations

Closed-Loop Unsupervised Representation Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic Feedback

ECCV 2024

citations

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning

NEURIPS 2022arXiv

citations

Breaking through the learning plateaus of in-context learning in Transformer

ICML 2024arXiv

citations

Discriminative Policy Optimization for Token-Level Reward Models

ICML 2025arXiv

citations

Contextual Debiasing for Visual Recognition With Causal Mechanisms

CVPR 2022

citations

Tao Yang

papers (14)

GAN Prior Embedded Network for Blind Face Restoration in the Wild

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation

Visual Concepts Tokenization

RORem: Training a Robust Object Remover with Human-in-the-Loop

Closed-Loop Unsupervised Representation Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic Feedback

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning

Breaking through the learning plateaus of in-context learning in Transformer

Discriminative Policy Optimization for Token-Level Reward Models

Contextual Debiasing for Visual Recognition With Causal Mechanisms

papers (14)

GAN Prior Embedded Network for Blind Face Restoration in the Wild

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation

Visual Concepts Tokenization

RORem: Training a Robust Object Remover with Human-in-the-Loop

Closed-Loop Unsupervised Representation Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic Feedback

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning

Breaking through the learning plateaus of in-context learning in Transformer

Discriminative Policy Optimization for Token-Level Reward Models

Contextual Debiasing for Visual Recognition With Causal Mechanisms