Search Results for author:
Found 9 papers, 1 papers with code
Learning the 3D Fauna of the Web
We show that prior category-specific attempts fail to generalize to rare species with limited training images.
Scene-Conditional 3D Object Stylization and Composition
Recently, 3D generative models have made impressive progress, enabling the generation of almost arbitrary 3D assets from text or image inputs.
Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator
To address this, we introduce the concept of a meta-calibrator that performs uncertainty calibration for NeRFs with a single forward pass without the need for holding out any images from the target scene.
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
We propose a framework that uses an image generator, such as Stable Diffusion, to generate synthetic training data that are sufficiently clean and do not require further manual curation, enabling the learning of such a reconstruction network from scratch.
MagicPony: Learning Articulated 3D Animals in the Wild
We consider the problem of predicting the 3D shape, articulation, viewpoint, texture, and lighting of an articulated animal like a horse given a single test image as input.
DOVE: Learning Deformable 3D Objects by Watching Videos
In this paper, we present DOVE, a method that learns textured 3D models of deformable object categories from monocular videos available online, without keypoint, viewpoint or template shape supervision.
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
We cast this as the problem of aligning a source 3D object to a target 3D object from the same object category.
Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos
We propose KeypointGAN, a new method for recognizing the pose of objects from a single image that for learning uses only unlabelled videos and a weak empirical prior on the object poses.
Unsupervised Learning of Object Landmarks through Conditional Image Generation
We propose a method for learning landmark detectors for visual objects (such as the eyes and the nose in a face) without any manual supervision.
