Gaussianavatar: Towards realistic human avatar modeling from a single video via animatable 3d gaussians
We present GaussianAvatar an efficient approach to creating realistic human avatars with
dynamic 3D appearances from a single video. We start by introducing animatable 3D …
dynamic 3D appearances from a single video. We start by introducing animatable 3D …
Clip-fo3d: Learning free open-world 3d scene representations from 2d dense clip
Training a 3D scene understanding model requires complicated human annotations, which
are laborious to collect and result in a model only encoding close-set object semantics. In …
are laborious to collect and result in a model only encoding close-set object semantics. In …
Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance
We introduce Open3DIS a novel solution designed to tackle the problem of Open-
Vocabulary Instance Segmentation within 3D scenes. Objects within 3D environments …
Vocabulary Instance Segmentation within 3D scenes. Objects within 3D environments …
A survey on open-vocabulary detection and segmentation: Past, present, and future
As the most fundamental scene understanding tasks, object detection and segmentation
have made tremendous progress in deep learning era. Due to the expensive manual …
have made tremendous progress in deep learning era. Due to the expensive manual …
Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation
In this work, we introduce OpenIns3D, a new 3D-input-only framework for 3D open-
vocabulary scene understanding. The OpenIns3D framework employs a “Mask-Snap …
vocabulary scene understanding. The OpenIns3D framework employs a “Mask-Snap …
Segpoint: Segment any point cloud via large language model
Despite significant progress in 3D point cloud segmentation, existing methods primarily
address specific tasks and depend on explicit instructions to identify targets, lacking the …
address specific tasks and depend on explicit instructions to identify targets, lacking the …