384 citations · 493 across the 20 of their papers we have counts for
4 papers · 1 filter
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation
Gil Avraham, Julian Straub, Tianwei Shen +7
This paper presents a framework that combines traditional keypoint-based camera pose optimization with an invertible neural rendering mechanism. Our proposed 3D scene representatio…
Self-supervised Neural Articulated Shape and Appearance Models
Fangyin Wei, Rohan Chabra, Lingni Ma +6
Learning geometry, motion, and appearance priors of object classes is important for the solution of a large variety of computer vision problems. While the majority of approaches ha…
LISA: Learning Implicit Shape and Appearance of Hands
Enric Corona, Tomas Hodan, Minh Vo +4
This paper proposes a do-it-all neural model of human hands, named LISA. The model can capture accurate hand shape and appearance, generalize to arbitrary hand subjects, provide de…
ERF: Explicit Radiance Field Reconstruction From Scratch
Samir Aroudj, Steven Lovegrove, Eddy Ilg +3
We propose a novel explicit dense 3D reconstruction approach that processes a set of images of a scene with sensor poses and calibrations and estimates a photo-real digital model.…