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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 (817)
    • 📝 논문리뷰 (768)
      • Computer Vision (461)
      • 3D Vision (201)
      • NLP (62)
      • Audio & Speech (48)
      • RL (27)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🎮 GAME (43)

    Recent posts

    [논문리뷰] Self-Calibrating Gaussian Splatting for Large Field-of-View Reconstruction

    2026년 01월 26일 

    Self-Calibrating Gaussian Splatting 논문 리뷰 (ICCV 2025 Highlight)

    Tags: 3D Vision, Gaussian Splatting, ICCV, Novel View Synthesis

    [논문리뷰] Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting

    2026년 01월 24일 

    Quantile Rendering (Q-Render) 논문 리뷰

    Tags: 3D Vision, Gaussian Splatting, Novel View Synthesis, NVIDIA

    [논문리뷰] Epona: Autoregressive Diffusion World Model for Autonomous Driving

    2026년 01월 22일 

    Epona 논문 리뷰 (ICCV 2025)

    Tags: Computer Vision, Diffusion, ICCV, Video Generation

    [논문리뷰] Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention into Convolutions

    2026년 01월 20일 

    ∆ConvFusion 논문 리뷰 (ICCV 2025)

    Tags: Computer Vision, Diffusion, Distillation, ICCV, Image Generation

    [논문리뷰] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think

    2026년 01월 18일 

    REG 논문 리뷰 (NeurIPS 2025 Oral)

    Tags: Computer Vision, Diffusion, DiT, Image Generation, NeurIPS

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