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전생했더니 인공지능이었던 건에 대하여
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    JiYeop Kim

    Diffusion은 신이고 GPT는 무적이다

    • Seoul, Korea
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    • 📂 전체 게시글 (724)
    • 📝 논문리뷰 (691)
      • Computer Vision (422)
      • 3D Vision (167)
      • NLP (61)
      • Audio & Speech (48)
      • RL (25)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🎮 GAME (27)

    Recent posts

    [논문리뷰] Diffusion Model Alignment Using Direct Preference Optimization

    2024년 05월 15일 

    Diffusion-DPO 논문 리뷰

    Tags: Computer Vision, Diffusion, Reinforcement Learning, Text-to-Image

    [논문리뷰] CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor

    2024년 05월 13일 

    CLIP as RNN (CaR) 논문 리뷰 (CVPR 2024)

    Tags: Computer Vision, Google, Image Segmentation

    [논문리뷰] GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation

    2024년 05월 11일 

    GenTron 논문 리뷰 (CVPR 2024)

    Tags: Computer Vision, CVPR, Diffusion, DiT, Image Generation, Meta, Video Generation

    [논문리뷰] CLoRA: A Contrastive Approach to Compose Multiple LoRA Models

    2024년 05월 09일 

    CLoRA 논문 리뷰

    Tags: Computer Vision, Contrastive Learning, Diffusion, Google, LoRA, Personalization, Text-to-Image

    [논문리뷰] NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models

    2024년 05월 07일 

    NoiseCLR 논문 리뷰 (CVPR 2024 Oral)

    Tags: Computer Vision, Contrastive Learning, CVPR, Diffusion, Image-to-Image Translation

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