Laplacian Frequency Hierarchies is proposed, a simple yet efficient 3DGS scheme that combines Laplacian image decomposition with coarse-to-fine, frequency-staged training, and reduces the number of active Gaussians during training, thereby lowering optimization overhead and accelerating training.
Yixiong Yang, Sirius Z. Zhang, Q. Yan et al.· 0 citations
It is argued that what a policy needs from a world model is not the prediction but the representation required to produce it: in flight the executed action explains almost all of the change between observations, so prediction reduces to reprojecting a static scene under a known displacement.
Yu-Hang Zhang, Rangya Zhang, Yu-Jing Shang et al.· 0 citations
Experiments show that CoMVS-GS remains competitive on object-level reconstruction and improves geometric accuracy and mesh compactness in outdoor scenes while maintaining high rendering quality.
Shi-Han Chen, Junjing Zhang, Q. Yan et al.· 0 citations
Abstract. The proliferation of continuous Neural Radiance Field (NeRF) and 3D Gaussian Splatting (3DGS) has shifted the paradigm of 3D aerial reconstruction from relying solely on geometric stereo matching to inverse rendering optimization. However, while these emerging rendering-based frameworks excel in synthesizing...
Shihan Chen, Zhaojin Li, Q. Yan et al.· The International Archives o...· 0 citations
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