14 citations · 36 across the 22 of their papers we have counts for
5 papers · 1 filter
NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance
Hanlin Chen, Chen Li, Yunsong Wang +1
Existing neural implicit surface reconstruction methods have achieved impressive performance in multi-view 3D reconstruction by leveraging explicit geometry priors such as depth ma…
SCALAR-NeRF: SCAlable LARge-scale Neural Radiance Fields for Scene Reconstruction
Yu Chen, Gim Hee Lee
In this work, we introduce SCALAR-NeRF, a novel framework tailored for scalable large-scale neural scene reconstruction. We structure the neural representation as an encoder-decode…
Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
Zhiwen Yan, Weng Fei Low, Yu Chen +1
3D Gaussians have recently emerged as a highly efficient representation for 3D reconstruction and rendering. Despite its high rendering quality and speed at high resolutions, they…
Animate124: Animating One Image to 4D Dynamic Scene
Yuyang Zhao, Zhiwen Yan, Enze Xie +3
We introduce Animate124 (Animate-one-image-to-4D), the first work to animate a single in-the-wild image into 3D video through textual motion descriptions, an underexplored problem…
GNeSF: Generalizable Neural Semantic Fields
Hanlin Chen, Chen Li, Mengqi Guo +2
3D scene segmentation based on neural implicit representation has emerged recently with the advantage of training only on 2D supervision. However, existing approaches still require…