Skip to content
View G-U-N's full-sized avatar
🥹
Out sick
🥹
Out sick

Block or report G-U-N

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
G-U-N/README.md

List of Projects

Diffusion Acceleration

  • Stable Consisrency Tuning: Understanding and improving consistency models.
  • Rectified Diffusion: Understanding and extending rectified flows to general diffusion models.
  • PCM [NeurIPS 2024]: Phasing and improving latent consistency models (One-step T2I and T2V).
  • OSV: Efficient Image-to-Video Generation.

Video Editing/Synthesis

  • Motion-I2V [SIGGRAPH 2024]: General explicit motion generation framework, working for Image-to-Video, Drag Video, Motion Brush, Vid2Vid.
  • AnimateLCM [SIGGRAPH ASIA 2024 TCS]: Efficient personalized video generation without personalized video data.
  • Be-Your-Outpainter [ECCV 2024]: One-shot video outpainting.

Class-Incremental Learning

  • PyCIL: a python toolbox for class-incremental learning.
  • CIL.Survey: a survey in deep class-incremental learning.
  • CIL.Pytorch: a pytorch tutorial to class-incremental learning.

Contact

email: [email protected] or [email protected]

Pinned Loading

  1. PyCIL PyCIL Public

    PyCIL: A Python Toolbox for Class-Incremental Learning

    Python 816 138

  2. Rectified-Diffusion Rectified-Diffusion Public

    Rectified Diffusion: Straightness Is Not Your Need

    Python 125 3

  3. Motion-I2V Motion-I2V Public

    [SIGGRAPH 2024] Motion I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

    Python 105 9

  4. Phased-Consistency-Model Phased-Consistency-Model Public

    [NeurIPS 2024] Boosting the performance of consistency models with PCM!

    Python 361 12