Search Results for author: Yuesong Wang

Found 5 papers, 2 papers with code

EfficientGS: Streamlining Gaussian Splatting for Large-Scale High-Resolution Scene Representation

no code implementations19 Apr 2024 Wenkai Liu, Tao Guan, Bin Zhu, Lili Ju, Zikai Song, Dan Li, Yuesong Wang, Wei Yang

In the domain of 3D scene representation, 3D Gaussian Splatting (3DGS) has emerged as a pivotal technology.

4k

Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields

1 code implementation20 Nov 2023 Zhiyuan Min, Yawei Luo, Wei Yang, Yuesong Wang, Yi Yang

Different from existing methods that consider cross-view and along-epipolar information independently, EVE-NeRF conducts the view-epipolar feature aggregation in an entangled manner by injecting the scene-invariant appearance continuity and geometry consistency priors to the aggregation process.

Generalizable Novel View Synthesis

C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction

no code implementations ICCV 2023 Luoyuan Xu, Tao Guan, Yuesong Wang, Wenkai Liu, Zhaojie Zeng, Junle Wang, Wei Yang

There is an emerging effort to combine the two popular 3D frameworks using Multi-View Stereo (MVS) and Neural Implicit Surfaces (NIS) with a specific focus on the few-shot / sparse view setting.

Depth Estimation Surface Reconstruction

Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo

1 code implementation CVPR 2023 Yuesong Wang, Zhaojie Zeng, Tao Guan, Wei Yang, Zhuo Chen, Wenkai Liu, Luoyuan Xu, Yawei Luo

To detect more anchor pixels to ensure better adaptive patch deformation, we propose to evaluate the matching ambiguity of a certain pixel by checking the convergence of the estimated depth as optimization proceeds.

Point Clouds

Mesh-Guided Multi-View Stereo With Pyramid Architecture

no code implementations CVPR 2020 Yuesong Wang, Tao Guan, Zhuo Chen, Yawei Luo, Keyang Luo, Lili Ju

Specifically, a PatchMatch-based MVS algorithm is first used to generate depth maps for coarse-scale images and the corresponding surface mesh is obtained by a surface reconstruction algorithm.

Surface Reconstruction

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