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Showing papers from University of California, San Diego / Meta Show all papers

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Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

Live Music Diffusion Models modify diffusion inference with block-wise KV caching to surpass discrete autoregressive efficiency, enabling stable alignment via ARC-Forcing and real-time interactive generation on consumer hardware.

Zachary Novack, Stephen Brade, Haven Kim, Hugo Flores and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 50

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
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Single Shot HDR Recovery via a Video Diffusion Prior

By recasting single-shot HDR reconstruction as video diffusion of exposure brackets fused by a lightweight UNet, it achieves high input fidelity and outperforms generative baselines on benchmarks and in 72% of human comparisons.

Chinmay Talegaonkar, Jinshi He, Nicholas Antipa

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5