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Jun-Chao Huang

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Preprint Sep 2026

Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout

Autoregressive (AR) video diffusion models have shown great potential in real-time video generation. Recent methods distill pretrained bidirectional video diffusion models into causal AR students through Distribution Matching Distillation (DMD), but the generated videos often suffer from over-saturation and over-smooth...

Zhuo-Ran Zhao, Sheng-Ju Qian, Tong-Tong Liang et al. · 0 citations
Preprint Sep 2026

SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models

We introduce SolarWM, a fully open foundation for building interactive video world models from data preparation through long-horizon inference. Training across heterogeneous data sources and video backbones is challenging: datasets differ in temporal scale, camera geometry, visual quality, motion, and captioning styles...

Jun-Chao Huang, Gui-An Fang, Sheng-Ju Qian et al. · 1 citation
Jul 2026

VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders

VideoRAE is introduced, a representation autoencoder that converts features from a frozen video foundation model into compact, reconstruction-capable latents for video generation, establishing frozen video foundation representations as compact, versatile, and generation-friendly video latents.

Zhihao Xie, Junfeng Wu, Xinting Hu et al. · 0 citations

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