Author

Lu Zhu

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Preprint Sep 2026

Enhancing Autoregressive Video Generation via Representation Adversarial Distillation

Few-step autoregressive video generation enables efficient streaming synthesis, but errors introduced in early temporal blocks are reused as context and can propagate through subsequent rollouts, leading to detail degradation, structural drift, and unstable motion. Existing distribution matching distillation (DMD) prim...

Fang-Yu Lin, Xing-Tong Ge, Lu Zhu et al. · 0 citations

#artificial intelligence Preprint Aug 2025

SalQ-VLM: Fine-Grained Saliency-Guided Quantization for Vision-Language Models

This work proposes SalQ-VLM, an importance-aware PTQ framework that prioritizes salient tokens and suppresses redundant vision tokens during calibration, and derives a gradient-driven importance factor that captures token-level importance variance and is theoretically grounded in the relationship among loss perturbatio...

Yufei Xue, Yu-Shi Huang, Lu Zhu et al. · 5 citations

Preprint Aug 2026

Omni-LiveAvatar: Minute-Level Real-Time Streaming Joint Audio-Video Avatar Generation

Omni-LiveAvatar is presented, the first framework for minute-level, real-time streaming joint audio-video avatar generation and proposes a progressive autoregressive distillation pipeline that transfers a large bidirectional joint audio-video diffusion model into a few-step autoregressive generator without auxiliary st...

Lu Zhu, Xing-Tong Ge, Fang-Yu Lin et al. · 1 citation