Jinjin Gu

@JasonGUTU

Ph.D. at USYD. B.Eng. at CUHK(SZ). A computer vision researcher.

Sydney, New South Wales

jasongt.com

Replies Reposts Media

Jinjin Gu
@JasonGUTU
Jul 29, 2025
🚀 Excited to share our latest paper: HYPIR — Harnessing Diffusion-Yielded Score Priors for Image Restoration Image restoration plays a vital role in tasks like photo enhancement and video upscaling. Yet the field has long faced a trade-off: high-quality methods are slow, while
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Jinjin Gu
@JasonGUTU
Aug 10, 2024
It can be even more realistic via SupPixel AI post processing!
AshutoshShrivastava
@ai_for_success
Aug 10, 2024
Flux images are so realistic that if you weren't told they were AI generated, you'd believe they were real. 🧵 1/n 🖼️ via Gorden_Sun
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Jinjin Gu
@JasonGUTU
Aug 2, 2024
Excited about the new Flux model from @bfl_ml! 🎉 Their 1024-res images are amazing. 🎨 But why stop there? 🤔 With SupPixel AI, we can enhance them to stunning 4096 resolution.✨ Experience top-notch image processing: supir.suppixel.ai/home #SupPixelAI #Flux #GenerativeModel
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Jinjin Gu
@JasonGUTU
Feb 29, 2024
Thanks for noticing our work!
Gradio
@Gradio
Feb 1, 2024
𝐒𝐔𝐏𝐈𝐑: An advanced image restoration method that combines generative prior and model scaling,using a 20-million image dataset, and can manipulate restorations with textual prompts. Kudos to Fanghua Yu @JasonGUTU @xinntao et al🚀 SUPIR supports Gradio demo in repo [links👇]
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Jinjin Gu
@JasonGUTU
Jan 17, 2023
Recent news of ChatGPT being used for academic writing, and even misconduct, has renewed concerns about the potential societal impact of AI-generated content (AIGC). Last year, we published an article, revealing the challenge of image generative models for scientific publication.
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