Shen Sheng 沈 盛

Google Scholar

About Me

I am an intern at Kunlun Tiangong AIstory. I completed my Master's and PhD at the School of Electrical Automation and Information Engineering at Tianjin University in 2020 and 2024, respectively. I obtained my Bachelor's degree at Hefei University of Technology in 2018. My current research interests focus on image generation and image restoration.

Working Experience

  1. Intern at Kunlun Tiangong - Worked on AIGC for image and story generation. (June. 2024 to now)
  2. Intern at Qiyuan Lab (Zhiyuan Liu's Team) - Worked on the training and inference of LLM.(Dec. 2023 to Mar. 2024)
  3. Intern at Baidu (September 2023 to November 2023) - Worked on AIGC for customized text-to-image generation. (Sep. 2023 to Nov. 2023)
  4. In recent years, I have been a reviewer of the following conferences and journals: ICCV, NeurIPS, AAAI, TCSVT, SCIS etc.

Publications

  • Implicit Transformer Network for Continuous Super-Resolution of Screen Content Images , NeurIPS, 2021. [links] [code]
  • Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression , ICCV, 2023. [links]
  • Efficient Screen Content Image Compression via Superpixel-Based Content Aggregation and Dynamic Feature Fusion , IJCAI, 2024.[links]
  • Reference image guided super-resolution via progressive channel attention networks, JCST, 2020. [links]

Preprint

  • ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution, arxiv, 2022. [links] [code]
  • DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion , arxiv, 2024. [links] [project] [code]

Visitor Statistics

Total Visits: Loading...

Contact

Email: codyshens@tju.edu.cn