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Ronggang Wang*

3 accepted papers

2024

Disentangled Generation and Aggregation for Robust Radiance Fields

ECCV 2024poster

"The utilization of the triplane-based radiance fields has gained attention in recent years due to its ability to effectively disentangle 3D scenes with a high-quality representation and low computation cost. A key requirement of this method is the precise input of camera poses. However, due to the…

2024

MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views

ECCV 2024poster

"Recently, the Neural Radiance Field (NeRF) advancement has facilitated few-shot Novel View Synthesis (NVS), which is a significant challenge in 3D vision applications. Despite numerous attempts to reduce the dense input requirement in NeRF, it still suffers from time-consumed training and rendering…

2024

Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction

ECCV 2024poster

"Reconstructing the high-fidelity surface from multi-view images, especially sparse images, is a critical and practical task that has attracted widespread attention in recent years. However, existing methods are impeded by the memory constraint or the requirement of ground-truth depths and cannot re…