Rendering accurate Chinese text remains challenging for text-to-image models. Existing OCR-based reinforcement-learning rewards compare decoded transcripts with target strings. Such rewards overlook the compositional nature of Chinese writing: an ideograph consists of reusable components arranged through explicit spati...
Ya-Zhen Xie, Xing-Song Ye, Zhi-Neng Chen· 0 citations
Vision-Language-Action (VLA) models have shown strong capabilities in robotic manipulation, yet existing benchmarks typically assume that task-relevant information is explicitly specified in the instruction. In practice, however, humans frequently refer to objects, quantities, and relations implicitly, requiring robots...
Aernaer Akelijiang, Jian-Nan Li, Zhi-Neng Chen et al.· 0 citations
Autoregressive models via next token prediction have emerged as a promising way towards unified models across multiple modalities for general artificial intelligence. Nevertheless, exploiting this idea to achieve single image to 3D generation remains a challenging problem. In this paper, we introduce a new Autoregressi...
Hai-Bo Yang, Yang Chen, Ying-Wei Pan et al.· IEEE Transactions on Pattern...· 0 citations
This work constructs TextMuSS-10M, a large-scale synthetic scene text dataset spanning 10 scripts and 229 languages and proposes ScriptMoE, a script-aware Mixture-of-Experts (MoE) architecture that achieves the highest accuracy and is simpler than per-language experts, lighter than VLMs, and more accurate than both.
Xing-Song Ye, Yong-Kun Du, Jia-Xin Zhang et al.· 1 citation
Perceptual Flow Matching supervises flow matching in a perceptual feature space using pretrained perceptual models, which substantially improves the few-step generation capability of flow-matching models, reducing the number of sampling steps from 35-50 to 4-8 while preserving generation quality.
Chuyang Zhao, Yifei Song, Hongfa Wang et al.· arXiv.org· 2 citations
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