Author

Jiaqi Feng

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#artificial intelligence May 2026

One-Forcing: Towards Stable One-Step Autoregressive Video Generation

One-Forcing is proposed, a simple yet effective approach that augments the DMD objective with an auxiliary GAN loss for high-quality and efficient one-step video generation, and finds that framewise autoregression stabilizes adversarial training, enabling higher-quality generation with substantially fewer training iter...

Jia-Qi Feng, Justin Cui, Yuan-Hao Ban et al. · arXiv.org · 13 citations · ⚡3

#artificial intelligence Preprint Sep 2026

SlackDrive: Reclaiming Runtime Slack for Adaptive Driving Inference

SlackDrive is proposed, a pre-inference compute allocator that reuses realized latency to select the compute budget of each control step before model execution, complementing existing profiling and resource scheduling while preserving the driving backbone and its compute actuator.

Xiao-Huan Pei, Heng-Guang Zhou, Yuan-Hao Ban et al. · 0 citations

Preprint Aug 2026

Stream4D: 4D-Consistency for Streaming Autoregressive Diffusion Video Models

This work replaces the static critic with a feed-forward 4D reconstruction reward that explicitly models scene dynamics, allowing coherent motion to receive high consistency rewards, and adds a motion prior that rewards natural scene-flow magnitude while penalizing jitter and non-rigid artifacts.

Yuan-Hao Ban, Jia-Qi Feng, Heng-Guang Zhou et al. · 0 citations