3D Gaussian Splatting achieves photorealistic reconstruction within training view distribution, yet it degrades on out-of-distribution novel views, exhibiting holes in unobserved regions and artifacts in observable areas. Recent works formulate this task as extrapolation and interpolation and try to address it with gen...
Yunlai Zhou, Yiren Lu, Tuo Liang et al.· 0 citations
Ori, a referring grounding task that predicts an object's 6D orientation and axial symmetry from a language or box query in single-view or multi-view scenes, substantially outperforms orientation-aware VLM baselines and surpasses object-level orientation foundation models on scene-level referring benchmarks, showing th...
Tuo Liang, Di-Sheng Liu, Neng-Bo Wang et al.· 0 citations
This survey focuses on visual humor understanding in single-image and multi-panel artifacts, while treating humor generation as an emerging downstream frontier, and synthesizes benchmark design, evaluation protocols, and modeling paradigms based on multimodal alignment, evidence-grounded reasoning, and controlled gener...
Tuo Liang, Zhe Hu, Disheng Liu et al.· arXiv.org· 0 citations
This survey provides a comprehensive and unified overview of recent advances in spatial intelligence for VLMs, summarize core concepts behind spatial reasoning in VLMs, analyze why spatial failures occur, and organize existing solutions into a clear framework spanning prompting-based techniques, model improvements, exp...
Di-Sheng Liu, Tuo Liang, Zhe Hu et al.· Artificial Intelligence Revi...· 9 citations
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