Tao Yang

Affiliations:
  • Bytedance Inc., Beijing, China
  • DAMO Academy, Alibaba Group, Hangzhou, China


According to our database1, Tao Yang authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
RORem: Training a Robust Object Remover with Human-in-the-Loop.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search.
CoRR, 2024

Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data.
CoRR, 2024

Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization.
Proceedings of the Computer Vision - ECCV 2024, 2024

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization.
CoRR, 2023

Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach.
CoRR, 2023

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
DDColor: Towards Photo-Realistic and Semantic-Aware Image Colorization via Dual Decoders.
CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
CoRR, 2022

Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
GAN Prior Embedded Network for Blind Face Restoration in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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