Xuanke Shi — accepted AI-conference papers

2026

ConsistCompose: Unified Multimodal Layout Control for Image Composition

Xuanke Shi, Boxuan Li, Xiaoyang Han, Zhongang Cai, Lei Yang, Quan Wang +1

CVPR 2026

Unified multimodal models that couple visual understanding with image generation have advanced rapidly, yet most systems still focus on visual grounding--aligning language with image regions--while their generative counterpart, linguistic-embedded layout-grounded generation(LELG) for layout-controll

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2026

Scaling Spatial Intelligence with Multimodal Foundation Models

Zhongang Cai, Ruisi Wang, Chenyang Gu, Fanyi Pu, Junxiang Xu, Yubo Wang +22

CVPR 2026

Despite remarkable progress, multimodal foundation models still exhibit surprising deficiencies in spatial intelligence. In this work, we explore scaling up multimodal foundation models to cultivate spatial intelligence within the SenseNova-SI family, built upon established multimodal foundations in

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