Visual SLAM integration with semantic segmentation and deep learning: A review
Simultaneous localization and map** (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
Emergent correspondence from image diffusion
Finding correspondences between images is a fundamental problem in computer vision. In
this paper, we show that correspondence emerges in image diffusion models without any …
this paper, we show that correspondence emerges in image diffusion models without any …
Lightglue: Local feature matching at light speed
We introduce LightGlue, a deep neural network that learns to match local features across
images. We revisit multiple design decisions of SuperGlue, the state of the art in sparse …
images. We revisit multiple design decisions of SuperGlue, the state of the art in sparse …
Sparf: Neural radiance fields from sparse and noisy poses
Abstract Neural Radiance Field (NeRF) has recently emerged as a powerful representation
to synthesize photorealistic novel views. While showing impressive performance, it relies on …
to synthesize photorealistic novel views. While showing impressive performance, it relies on …
LoFTR: Detector-free local feature matching with transformers
We present a novel method for local image feature matching. Instead of performing image
feature detection, description, and matching sequentially, we propose to first establish pixel …
feature detection, description, and matching sequentially, we propose to first establish pixel …
Barf: Bundle-adjusting neural radiance fields
Abstract Neural Radiance Fields (NeRF) have recently gained a surge of interest within the
computer vision community for its power to synthesize photorealistic novel views of real …
computer vision community for its power to synthesize photorealistic novel views of real …
Unmanned Aerial Vehicle-Based Photogrammetric 3D Map**: A survey of techniques, applications, and challenges
Three-dimensional map** is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
Predator: Registration of 3d point clouds with low overlap
We introduce PREDATOR, a model for pairwise pointcloud registration with deep attention
to the overlap region. Different from previous work, our model is specifically designed to …
to the overlap region. Different from previous work, our model is specifically designed to …
Superglue: Learning feature matching with graph neural networks
This paper introduces SuperGlue, a neural network that matches two sets of local features
by jointly finding correspondences and rejecting non-matchable points. Assignments are …
by jointly finding correspondences and rejecting non-matchable points. Assignments are …
Onepose: One-shot object pose estimation without cad models
We propose a new method named OnePose for object pose estimation. Unlike existing
instance-level or category-level methods, OnePose does not rely on CAD models and can …
instance-level or category-level methods, OnePose does not rely on CAD models and can …