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20232026
most citedEmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

18 citations · 19 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field

Shangjie Xue, Jesse Dill, Dhruv Ahuja +3

We present Gaussian Splatting Anisotropic Visibility Field (GAVIS), a novel framework for uncertainty quantification and active mapping in 3DGS. Our key insight is that regions uns…

cs.CV2025

DreamDrive: Generative 4D Scene Modeling from Street View Images

Jiageng Mao, Boyi Li, Boris Ivanovic +7

Synthesizing photo-realistic visual observations from an ego vehicle's driving trajectory is a critical step towards scalable training of self-driving models. Reconstruction-based…

cs.CV20241 cited

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes

Jiawei Yang, Jiahui Huang, Yuxiao Chen +10

We present STORM, a spatio-temporal reconstruction model designed for reconstructing dynamic outdoor scenes from sparse observations. Existing dynamic reconstruction methods often…

cs.CV2024

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models

Ziqi Lu, Heng Yang, Danfei Xu +4

Emerging 3D geometric foundation models, such as DUSt3R, offer a promising approach for in-the-wild 3D vision tasks. However, due to the high-dimensional nature of the problem spac…

cs.CV2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D

Zhiwen Fan, Jian Zhang, Wenyan Cong +10

Reconstructing and understanding 3D structures from a limited number of images is a well-established problem in computer vision. Traditional methods usually break this task into mu…

cs.CV2024

InstantSplat: Sparse-view Gaussian Splatting in Seconds

Zhiwen Fan, Wenyan Cong, Kairun Wen +9

While neural 3D reconstruction has advanced substantially, its performance significantly degrades with sparse-view data, which limits its broader applicability, since SfM is often…