Single-image 3D object generation can now produce high-fidelity assets, yet accurately placing them into a coherent scene layout remains an open challenge. A central difficulty lies in how object layout is represented. Holistic methods absorb placement into a scene-level generation process, sacrificing object-level det...
Yang-Tian Sun, Tian-Jia Liu, Zehuan Huang et al.· 0 citations
High-rate dense perception in dynamic environments is limited by the low update rate of RGB cameras, as rapid scene changes can occur between frames. Event cameras offer temporally dense but spatially sparse measurements, complementary to spatially dense RGB observations. Direct fusion cannot fully exploit this complem...
Tao Wan, Xiao-Shan Wu, Yi-Fei Yu et al.· 0 citations
OptiGeo is introduced, a bias-aware training framework that rehabilitates biased real supervision using a clean-geometry teacher and residual-trimmed alignment and outperforms substantially larger 300M-scale monocular models and billion-scale multi-view baselines on transparent-scene benchmarks, while remaining competi...
Mu-Xin Liu, Tian-Bo Liu, Jing Xia et al.· 1 citation
Monocular depth estimation has long stood as a fundamental challenge in computer vision, enabling a wide range of applications including 3D reconstruction, robotics, autonomous driving, and augmented reality. This survey traces the field's evolution from early learning-based methods to the emergence of transformative f...
Mu-Xin Liu, Xiaoyang Lyu, Yang-Tian Sun et al.· 0 citations
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