William Yang

@YangWilliam_

William Yang
@YangWilliam_
Oct 12
I've always wondered: Where does denoising go in one-step generative models? Turns out, it's hidden in the layers! A very surprising finding, and I'm super proud of Arnold for this work! 👏
Arnold Caleb Asiimwe
@acaleb
Oct 12
1/ I’m excited to share our work on “Depth as Time in One-Step Generative Models”! alphaxiv.org/abs/2610.03626 TL;DR: We ask, when a model learns to generate an image in one forward pass, what happens to the denoising process? We observe that process unfolding over depth!
GIF
William Yang
@YangWilliam_
Jun 2
I will be presenting BeyondObjects this week at #CVPR2026. Come check out our poster on Thursday 4:30-5:30pm at the syndata4cv workshop (Room 607) or Saturday 4:45-6:45pm at ExHall A & F poster location 99. Happy to chat!
William Yang
@YangWilliam_
Oct 31, 2025
Text-to-image (T2I) models can generate rich supervision for visual learning but generating subtle distinctions still remains challenging. Fine-tuning helps, but too much tuning → overfitting and loss of diversity. How do we preserve fidelity without sacrificing diversity (1/8)
1
William Yang
@YangWilliam_
Oct 31, 2025
Text-to-image (T2I) models can generate rich supervision for visual learning but generating subtle distinctions still remains challenging. Fine-tuning helps, but too much tuning → overfitting and loss of diversity. How do we preserve fidelity without sacrificing diversity (1/8)
2