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Kitsunetic/README.md

As enthusiastic AI research student, I enjoy developing code that brings ideas to life, enhancing performance and efficiency.

I specialize in deep learning, with a particular focus on computer vision tasks. Recently, I have developed interests in Gaussian Splatting, 3D generative models, and multi-modal learning.

I am proficient in Python and PyTorch, and have solid understanding of Linux systems, Docker, CUDA, and Triton.

Publications

AI Challenges

I'm enjoying utilizing AI for real-world applications through AI challenges.

I reached total 4th place (highest record) from 77,242 players of DACON (a Korean community similar to Kaggle).

Please refer my homepage for more details.

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  1. vision3d-lab/ditto Public

    Official Implementation of "DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction" in CVPR 2024

    Python 27 2

  2. SDF-Diffusion Public

    Diffusion-Based Signed Distance Fields for 3D Shape Generation (CVPR 2023)

    Python 139 5

  3. ContactGen Public

    Forked from dongjunKu/ContactGen

    ContactGen: Contact-Guided Interactive 3D Human Generation for Partners (AAAI 2024)

    Python 1 1

  4. kitsu Public

    Python 6 1

  5. DFusion Public

    A library to make it easy to implement diffusion models

    Python 5 1

  6. space-filling-pytorch Public

    A set of GPU optimized space-filling-curve algorithms (e.g., Hilbert, Z-order) on PyTorch and OpenAI Triton.

    Jupyter Notebook 13 1

772 contributions in the last year

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Activity overview

Contributed to Kitsunetic/kitsu, Kitsunetic/space-filling-pytorch, Kitsunetic/fast-GeM and 21 other repositories
Loading A graph representing Kitsunetic's contributions from March 17, 2024 to March 21, 2025. The contributions are 98% commits, 2% issues, 0% pull requests, 0% code review.

Contribution activity

March 2025

17 contributions in private repositories Mar 13 – Mar 21
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