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@cvsp-lab

PNU CVSP

Computer Vision and Signal Processing Lab.
README.md

Computer Vision and Signal Processing Lab

PNU CVSP Lab develops scalable and reliable spatial multimodal AI for understanding, generating, and interacting with the physical world.

Our research focuses on:

  1. 3D/4D world modeling and dynamic Gaussian splatting

  2. Efficient and reliable vision-language models

  3. Embodied spatial intelligence for robots, media, and real-world applications

Professor

공경보 pnu-cvsp

Ph.D Courses

정성훈 github

MS Courses

진인환 github

정다운 github

김태훈 github website

Integrated BS-MS Courses

백창우 github

문형주 github

우민수 github

이우진 github

김소현 github

김소형 github

최지훈 github

조범권 github

김우형 github

Research Interns

윤지원 github

윤상연 github

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  1. Stable-cGAN Stable-cGAN Public

    Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching

    Python 1

  2. CEP CEP Public

    Forked from Jihyun0510/caption_guided_extensive_painting

    [WACV2023] An Unified Framework for Language Guided Image Completion

    Python

  3. M2A M2A Public

    Motion-to-Attention: Attention Motion Composer using Optical Flow for Text-to-Video Editing

    Python

  4. ICCVw2023_MMI ICCVw2023_MMI Public

    Forked from currycurry915/Motion_Map_Injection

    [ICCV2023 Workshop] Enhancing Text-to-Video Editing with Motion Map Injection

    Python

  5. ICLR2025_3D-MOM ICLR2025_3D-MOM Public

    Official code of "Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images (ICLR 2025)"

    Python 27 1

  6. AgilePruner AgilePruner Public

    [ICLR 2026] AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

    27 2

Repositories

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