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
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.· 2 citations
ArtiMo, a novel agent-driven framework for text-guided articulated mesh animation, develops an agentic pipeline powered by Large Language and Vision-Language Models (LLMs/VLMs) to orchestrate motion generation without requiring model fine-tuning.
Chun-Yu Zou, Peng Dai, Yi-Hua Huang et al.· 0 citations
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