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Open Graph

title

DOVE: Learning Deformable 3D Objects by Watching Videos.

description

We propose a method for learning deformable 3D birds from videos, without keypoint, viewpoint or template shape supervision.

site name

author

updated

2026-03-04 03:17:38

raw text

🕊 DOVE: Learning Deformable 3D Objects by Watching Videos 🕊 DOVE: Learning Deformable 3D Objects by Watching Videos IJCV 2023 Shangzhe Wu * Tomas Jakab * Christian Rupprecht Andrea Vedaldi Visual Geometry Group, University of Oxford ( * equal contribution ) [Paper] [Video] [Code] DOVE - D eformable O bjects from V id E os. Given a collection of video clips of an object category as training data, we learn a model that predicts a textured, articulated 3D mesh from a single image of the object. Interactive Demo Full screen version. Click "Open Controls" to switch examples and adjust settings. Video Abstract Learning deformable 3D objects from 2D images is an extremely ill-posed problem. Existing methods rely on explicit supervision to establish multi-view correspondences, such as template shape models and keypoint annotations, which restricts their applicability on objects "in the wild". In this paper, we propos...

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