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전생했더니 인공지능이었던 건에 대하여
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    JiYeop Kim

    Diffusion은 신이고 GPT는 무적이다

    • Seoul, Korea
    • GitHub
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    • 📂 전체 게시글 (815)
    • 📝 논문리뷰 (766)
      • Computer Vision (460)
      • 3D Vision (201)
      • NLP (62)
      • Audio & Speech (48)
      • RL (27)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🎮 GAME (43)

    Recent posts

    [논문리뷰] GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting

    2024년 05월 17일 

    GS-LRM 논문 리뷰 (ECCV 2024)

    Tags: 3D Vision, ECCV, Gaussian Splatting, Novel View Synthesis, Transformer

    [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

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