Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
We present SHINOBI an end-to-end framework for the reconstruction of shape material and
illumination from object images captured with varying lighting pose and background. Inverse …
illumination from object images captured with varying lighting pose and background. Inverse …
3D Congealing: 3D-Aware Image Alignment in the Wild
We propose 3D Congealing, a novel problem of 3D-aware alignment for 2D images
capturing semantically similar objects. Given a collection of unlabeled Internet images, our …
capturing semantically similar objects. Given a collection of unlabeled Internet images, our …
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis
Inferring the 3D structure underlying a set of multi-view images typically requires solving two
co-dependent tasks--accurate 3D reconstruction requires precise camera poses, and …
co-dependent tasks--accurate 3D reconstruction requires precise camera poses, and …
Generalizable Single-view Object Pose Estimation by Two-side Generating and Matching
In this paper, we present a novel generalizable object pose estimation method to determine
the object pose using only one RGB image. Unlike traditional approaches that rely on …
the object pose using only one RGB image. Unlike traditional approaches that rely on …
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views
S Zhang, C Zhao - arxiv preprint arxiv:2412.08412, 2024 - arxiv.org
Inferring 3D structures from sparse, unposed observations is challenging due to its
unconstrained nature. Recent methods propose to predict implicit representations directly …
unconstrained nature. Recent methods propose to predict implicit representations directly …
[BUCH][B] Computer Vision-ECCV 2024: 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIV.
A Leonardis - 2024 - books.google.com
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …