Feed-forward Gaussian reconstruction builds 3D scenes directly from input images for novel view rendering, but learning Gaussian attributes from predicted geometry for high-quality rendering under large viewpoint changes remains challenging. We analyze limitations in Gaussian attribute learning and introduce InfiniSpla...
Yong-Zhen Hu, Hao Yu, Jia-Wei Wang et al.· 0 citations
General-purpose service robots need navigation systems that can handle diverse human requests in unfamiliar environments, combining task generality with scene generality. Some existing methods fine-tune multimodal large language models (MLLMs) to predict navigation actions, making their behavior dependent on the covera...
Jin-Kai Zhang, Jing-Yi Xu, Yuan-Hong Yu et al.· 0 citations
InfiniSplat is presented, a feed-forward single-image 3DGS framework that moves from a pixel-aligned representation toward a surface-aligned representation, and achieves state-of-the-art performance compared with single-image feed-forward baselines, and demonstrates zero-shot generalization from Hypersim indoor synthet...
Jiawei Wang, Hao Yu, Yongzhen Hu et al.· 0 citations
A large-scale pre-training framework that utilizes synthetic cross-modal training signals, incorporating diverse data from various sources, to teach models to recognize and match fundamental structures across images, which generalizes effectively across more than eight unseen cross-modality registration tasks.
Xingyi He He, Hao Yu, Si-Da Peng et al.· IEEE Transactions on Pattern...· 2 citations· ⚡1
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