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Jinhong Wu

2 papers indexed

arxivcs.CV2026-07-20

Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting

Chengbo Wang, Guozheng Ma, Jinhong Wu, Tie Ji, Yizhen Lao

3D Gaussian Splatting (3DGS) employs Gaussian primitives for explicit scene representation, facilitating real-time, high-fidelity reconstruction and novel view synthesis of complex scenes. However, the explicit modeling inherent in 3DGS introduces a gradient bias during optimizat…

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arxivcs.CLcs.LG2026-07-06

EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments

Deyao Zhu, Xin Zhou, Shengling Qin, Xuekai Zhu, Hangliang Ding, Shu Zhong, et al.

Pretraining scaling laws reveal that model capability improves predictably with data and compute. But learning from real world environments after deployment remains far less understood. Analyzing roughly 38,000 hours of agent interaction with the environment across 134 real world…

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