Super Resolution

Can A Concise Architecture Be Efficient And Accurate? Tsinghua & Huawei Propose A New Residual Recurrent Super-Resolution Model: RRN!

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Can A Concise Architecture Be Efficient And Accurate? Tsinghua & Huawei Propose A New Residual Recurrent Super-Resolution Model: RRN!

Sharing a paper on video super-resolution titled Revisiting Temporal Modeling for Video Super-resolution, which is a BMVC 2020 paper. The results of this paper currently rank first on several datasets for video super-resolution, and the code has been open-sourced. Affiliations: Tsinghua University, New York University, Huawei Noah’s Ark Lab 1 Highlights This paper proposes a … Read more

Understanding and Applications of Diffusion Models

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Understanding and Applications of Diffusion Models

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and industry researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted … Read more