Skip to content
View haoningwu3639's full-sized avatar
🙂
Be Patient
🙂
Be Patient
68 followers · 49 following

Achievements

Achievement: Starstruckx2

Achievements

Achievement: Starstruckx2

Block or report haoningwu3639

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
haoningwu3639/README.md

Self-Intro

  • 🧑‍💻 I am Haoning Wu.
  • 🌱 I am currently a 2nd-year PhD candidate of MediaBrain at Shanghai Jiao Tong University (SJTU), advised by Prof. Weidi Xie and Prof. Ya Zhang. Previously, I received my B.S. degree in EE (IEEE honor class) also from SJTU in June 2022.
  • 💬 I'm generally interested in computer vision, especially generative models, AI4Science and AI4Sports.
  • 📧 Feel free to contact me via email!!! Twitter BadgeGmail Badge

Some Statistics

haoningwu3639's GitHub stats

Pinned Loading

  1. StoryGen StoryGen Public

    [CVPR 2024] Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models

    Python 197 9

  2. SimpleSDM SimpleSDM Public

    A simple and flexible PyTorch implementation of StableDiffusion based on diffusers.

    Python 22 3

  3. ShaochengShen/MegaFusion ShaochengShen/MegaFusion Public

    MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

    55 5

  4. jyrao/MatchTime jyrao/MatchTime Public

    MatchTime: Towards Automatic Soccer Game Commentary Generation

    Python 23 1

  5. VFI_Adapter VFI_Adapter Public

    [BMVC 2023 Oral] Boost Video Frame Interpolation via Motion Adaptation

    Python 14

  6. LAR-SR LAR-SR Public

    [CVPR 2022] Official implemention of the paper "LAR-SR: A Local Autoregressive Model for Image Super-Resolution“

    Python 5