Author

J. Wu

3 papers indexed here

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Preprint Sep 2026

PixelUMM: Encoder-Free Unified Image and Video Understanding and Generation

Unified Multimodal Models (UMMs) often rely on separate visual representations for understanding and generation, increasing visual context length and complicating integration with established vision-language pretraining pipelines. Recent advances in pixel-space modeling offer an encoder-free alternative, but extending...

Cong Wei, Xuan-Chi Ren, Bryan Chu et al. · 0 citations

#artificial intelligence Jun 2026

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

Preliminary results indicate that a world-action model (WAM) post-trained from OmniDreams achieves strong performance on the Physical AI Autonomous Vehicles NuRec dataset, surpassing the VLA-based Alpamayo 1.5 research policy model while using only 1/5 the total parameters.

Aarti Basant, Amlan Kar, Despoina Paschalidou et al. · arXiv.org · 14 citations · ⚡2

Preprint Aug 2026

Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation

Context-Matched Distillation (CMD) is introduced, a causal DMD framework that aligns teacher supervision with the information available when each target is generated, and naturally extends to frame-wise and chunk-wise generation, long video distillation, and camera-conditioned distillation.

Hmrishav Bandyopadhyay, Xuanchi Ren, Zijian Huang et al. · 3 citations