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What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion

Zhengrong Yue, Taihang Hu, Mengting Chen, Haiyu Zhang and 7 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
72%Highly rated
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Continuous-Time Distribution Matching for Few-Step Diffusion Distillation

Continuous-Time Distribution Matching replaces discrete step anchoring with continuous distribution optimization and off-trajectory alignment to accelerate diffusion models without auxiliary networks. CDM achieves competitive few-step image generation fidelity across architectures without GANs or re

Tao Liu, Hao Yan, Mengting Chen, Taihang Hu and 7 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026 · ▲ 27 on Hugging Face · Code ★ 154

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AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 0/5
83%Must read
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D$^2$Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs

D²Quant improves sub-4-bit LLM weight-only quantization via dual-scale quantizers for down-projection matrices and deviation-aware LayerNorm correction, boosting accuracy without extra bit budget.

Xianglong Yan, chengzhu bao, Zhiteng Li, Tianao Zhang and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5