RGB-D salient object detection: A survey
Salient object detection, which simulates human visual perception in locating the most
significant object (s) in a scene, has been widely applied to various computer vision tasks …
significant object (s) in a scene, has been widely applied to various computer vision tasks …
Salient object detection: A survey
Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …
object detection, has attracted great interest in computer vision. While many models have …
imap: Implicit map** and positioning in real-time
We show for the first time that a multilayer perceptron (MLP) can serve as the only scene
representation in a real-time SLAM system for a handheld RGB-D camera. Our network is …
representation in a real-time SLAM system for a handheld RGB-D camera. Our network is …
Dense depth priors for neural radiance fields from sparse input views
Neural radiance fields (NeRF) encode a scene into a neural representation that enables
photo-realistic rendering of novel views. However, a successful reconstruction from RGB …
photo-realistic rendering of novel views. However, a successful reconstruction from RGB …
3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models
We introduce 3DShape2VecSet, a novel shape representation for neural fields designed for
generative diffusion models. Our shape representation can encode 3D shapes given as …
generative diffusion models. Our shape representation can encode 3D shapes given as …
Monoscene: Monocular 3d semantic scene completion
MonoScene proposes a 3D Semantic Scene Completion (SSC) framework, where the dense
geometry and semantics of a scene are inferred from a single monocular RGB image …
geometry and semantics of a scene are inferred from a single monocular RGB image …
Neuralrecon: Real-time coherent 3d reconstruction from monocular video
We present a novel framework named NeuralRecon for real-time 3D scene reconstruction
from a monocular video. Unlike previous methods that estimate single-view depth maps …
from a monocular video. Unlike previous methods that estimate single-view depth maps …
Neural rgb-d surface reconstruction
Obtaining high-quality 3D reconstructions of room-scale scenes is of paramount importance
for upcoming applications in AR or VR. These range from mixed reality applications for …
for upcoming applications in AR or VR. These range from mixed reality applications for …
Meshgpt: Generating triangle meshes with decoder-only transformers
We introduce MeshGPT a new approach for generating triangle meshes that reflects the
compactness typical of artist-created meshes in contrast to dense triangle meshes extracted …
compactness typical of artist-created meshes in contrast to dense triangle meshes extracted …