Hello, I'm Jung Yi

I am MS Student at KAIST CVLAB, advised by Seungryong Kim. I am interested in 4D Computer Vision (Autoregressive Video World Model, Feed-Forward 4D Reconstruction, Robot Perception through Point Tracking). I received my BS from the Yonsei University in 2024.

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News

  • Dec 2025: DeepForcing, MV-TAP, our papers on autoregressive video world model, point tracking model has been released on arxiv.
  • Mar 2025: Chrono, our paper on Point Tracking, has been accepted to CVPR 2025.

Publications

Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression.

Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression.

Jung Yi, Wooseok Jang, Paul Hyunbin Cho, Jisu Nam, Heeji Yoon, Seungryong Kim
arxiv, 2025

Long-video generation by combining Deep Sink and Participative Compression.

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MV-TAP: Tracking Any Point in Multi-View Videos

MV-TAP: Tracking Any Point in Multi-View Videos

Jahyeok Koo*, Ines Hyeonsu Kim*, Mungyeom Kim, Junghyun Park, Seohyeon Park, Jaeyeong Kim, Jung Yi, Seokju Cho, Seungryong Kim
arxiv, 2025

Multi-view point tracker that uses camera and cross-view attention.

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Exploring Temporally-Aware Features for Point Tracking

Exploring Temporally-Aware Features for Point Tracking

Ines Hyeonsu Kim*, Seokju Cho*, Jiahui Huang, Jung Yi, Joon-Young Lee, Seungryong Kim
CVPR, 2025

Feature backbone specifically designed for point tracking with built-in temporal awareness.

Project Page PDF arXiv
Fast sun-aligned outdoor scene relighting based on tensorf

Fast sun-aligned outdoor scene relighting based on tensorf

Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak
WACV, 2024

Outdoor scene relighting for Neural Radiance Fields (NeRF).

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