Blog(1)

• LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation

  Recently, there has been growing interest in personalized image generation [4, 5], where users can generate images that depict particular subjects or styles by providing just a few reference images.

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Publications(13)

• LIFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning

  AuthorMinyoung Kim, Timothy Hospedales

  PublishedInternational Conference on Learning Representation (ICLR)

  Date2025-04-25

• ESC: Exploration with SoF Commonsense Constraints for Zero-shot Object Navigation

  AuthorYilin Shen,Hongxia Jin

  PublishedInternational Conference on Machine Learning (ICML)

  Date2023-07-29

• Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer

  AuthorDafeng Zhang, xiaobing wang

  PublishedIEEE International Conference on Multimedia and Expo (ICME)

  Date2022-08-01

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News(5)

• [Blog] LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation

  Recently, there has been growing interest in personalized image generation [4, 5], where users can generate images that depict particular subjects or styles by providing just a few reference images.

• Samsung Researchers Receive Prestigious Best Paper Award at IEEE ICC 2024

  Samsung R&D Institute India-Bangalore (SRI-B) is proud to announce that its Network R&D team has received the Best Research Paper Award at the esteemed IEEE International Conference on Communications (ICC) 2024 workshop (BlockSecSDN 2024), held on June 13th, 2024 in Denver, Colorado, USA.

• [Blog] Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces

  Neural Radiance Fields (NeRF) [1] have taken the 3D computer vision field by storm in the last few years, due to their ability to compactly represent complex scenes and their impressive results in novel view synthesis. NeRF methods quickly found use in various application areas, such as augmented reality, robotics, content creation and multimedia production [1] [2] [3].

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