Haojun Qiu

computer vision · generative models

[Haojun Qiu @HaojunQiu]

📢📢📢We introduce Efficient-SID⚡️: training-free single-image diffusion model that generates images by sampling directly from an input image's patch distribution. Our method enables megapixel generation in <1s and scales to gigapixel generation. We also enable stylization, editing, and other applications. The outputs are constrained to follow exactly the patch distribution of the input — something that is very difficult to do with large models!

#CVPR2026 Highlight

🌐 https://t.co/HyPtTbmfvS
📄 https://t.co/caXEAk2wEQ

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[Haojun Qiu @HaojunQiu]

@_Linjunru Thank you Junru!

[Haojun Qiu @HaojunQiu]

@ruihangzhang Thank you Ruihang!

[Haojun Qiu @HaojunQiu]

📢📢📢We introduce Efficient-SID⚡️: training-free single-image diffusion model that generates images by sampling directly from an input image's patch distribution. Our method enables megapixel generation in <1s and scales to gigapixel generation. We also enable stylization, editing, and other applications. The outputs are constrained to follow exactly the patch distribution of the input — something that is very difficult to do with large models!

#CVPR2026 Highlight

🌐 https://t.co/HyPtTbmfvS
📄 https://t.co/caXEAk2wEQ

[1/6]

[Haojun Qiu @HaojunQiu]

@estheroate Thank your Esther!!

[Haojun Qiu @HaojunQiu]

@DaveLindell Thank you David! Excited to finally share it — thanks for all the guidance on the project!

[David Lindell @DaveLindell]

Really cool project led by @HaojunQiu! We show a patch-based image generation method with closed-form diffusion (i.e., analytical denoising—no neural network). It's *super* efficient and even scales to gigapixel generation! #CVPR2026

[Anagh Malik @anagh_malik]

📢📢📢 Velox 🚀: Learning Representations of 4D Geometry and Appearance

In our #CVPR2026 paper, we introduce a method for learning a native 4D representation, useful for many downstream tasks, such as video-to-4D, 3D tracking, cloth simulation, and others!

🌐: https://t.co/MCkCMEftoJ
📝: https://t.co/iLKgrprXlO

[Haojun Qiu @HaojunQiu]

@rms80 @kyroskutulakos @DaveLindell Thank you Ryan!

[Haojun Qiu @HaojunQiu]

CVPR 2026, Denver — Poster #704, June 7th morning session. Come find us! We'll have a live demo at our poster!

Huge thanks to my collaborators @kyroskutulakos and @DaveLindell

[Haojun Qiu @HaojunQiu]

We can use the same algorithm and introduce guidance from large models or additional generation constraints to show other applications:

• Retargeting (content-aware resize)
• Symmetrization
• Seamless tiling
• Style transfer
• Text-guided stylization ("Van Gogh", "Monet")

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