4 papers · 1 filter
Seg-Wild: Interactive Segmentation based on 3D Gaussian Splatting for Unconstrained Image Collections
Yongtang Bao, Chengjie Tang, Yuze Wang +1
Reconstructing and segmenting scenes from unconstrained photo collections obtained from the Internet is a novel but challenging task. Unconstrained photo collections are easier to…
DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion
Yansong Qu, Shaohui Dai, Xinyang Li +4
Reconstructing 3D objects from a single image remains challenging, especially under real-world occlusions. While recent diffusion-based view synthesis models can generate consisten…
SCARF: Scalable Continual Learning Framework for Memory-efficient Multiple Neural Radiance Fields
Yuze Wang, Junyi Wang, Chen Wang +3
This paper introduces a novel continual learning framework for synthesising novel views of multiple scenes, learning multiple 3D scenes incrementally, and updating the network para…
WE-GS: An In-the-wild Efficient 3D Gaussian Representation for Unconstrained Photo Collections
Yuze Wang, Junyi Wang, Yue Qi
Novel View Synthesis (NVS) from unconstrained photo collections is challenging in computer graphics. Recently, 3D Gaussian Splatting (3DGS) has shown promise for photorealistic and…