4 papers
OP2GS: Object-Aware 3D Gaussian Splatting with Dual-Opacity Primitives
Guiyu Liu, Niklas Vaara, Janne Mustaniemi +2
3D Gaussian Splatting (3DGS) provides an explicit and efficient scene representation, but its primitives lack inherent object-level identity, hindering downstream tasks such as ope…
Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting
Tsuheng Hsu, Guiyu Liu, Juho Kannala +2
Recent works on 3D scene understanding leverage 2D masks from visual foundation models (VFMs) to supervise radiance fields, enabling instance-level 3D segmentation. However, the su…
GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting
Dingding Cai, Janne Heikkilä, Esa Rahtu
This paper introduces GS-Pose, a unified framework for localizing and estimating the 6D pose of novel objects. GS-Pose begins with a set of posed RGB images of a previously unseen…
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding
Uy Dieu Tran, Minh Luu, Phong Ha Nguyen +2
Text-to-3D synthesis has recently emerged as a new approach to sampling 3D models by adopting pretrained text-to-image models as guiding visual priors. An intriguing but underexplo…