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Xi-Jun Wang

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Preprint Sep 2026

Restore What Matters: Lessons from Joint Restoration and Recognition

Recognition pipelines typically adopt a restore-then-recognize workflow, yet decades of experience show that generating visually pleasing images seldom translates to improved recognition. We propose a Joint Restoration-for-Recognition (JR$^2$) paradigm: restore only what downstream tasks truly require, with task signal...

Lan-Qing Guo, Xi-Jun Wang, Minchul Kim et al. · 0 citations
Preprint Sep 2026

VideoTok4D: A 4D-Aware Video Tokenizer for Compact World Representation

VideoTok4D, a novel 4D-aware video tokenizer for compact world representation that achieves state-of-the-art performance while requiring up to 4 orders of magnitude less storage than dense 4D representations, and substantially shortens diffusion sequences, enabling efficient generation.

Xin-Yi Chen, Han-Xin Zhu, Xi-Jun Wang et al. · 1 citation

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