32 citations · 44 across the 22 of their papers we have counts for
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cs.CV2026
Exploring Spatial Intelligence from a Generative Perspective
Muzhi Zhu, Shunyao Jiang, Huanyi Zheng +9
Spatial intelligence is essential for multimodal large language models, yet current benchmarks largely assess it only from an understanding perspective. We ask whether modern gener…
cs.CV2026
MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation
Liyang Li, Wen Wang, Canyu Zhao +4
Recent advances in Diffusion Transformers (DiTs) have enabled high-quality joint audio-video generation, producing videos with synchronized audio within a single model. However, ex…
cs.CV2026
CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models
Junming Huang, Chi Wang, Letian Li +5
Large Language Models(LLMs) have revolutionized text generation and multimodal perception,but their capabilities in 3D content generation remain underexplored. Existing methods com…