[HTML][HTML] Perspectives in machine learning for wildlife conservation

D Tuia, B Kellenberger, S Beery, BR Costelloe… - Nature …, 2022 - nature.com
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

Deep learning tools for the measurement of animal behavior in neuroscience

MW Mathis, A Mathis - Current opinion in neurobiology, 2020 - Elsevier
Highlights•Deep neural networks are shattering performance benchmarks in computer
vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …

Zero-1-to-3: Zero-shot one image to 3d object

R Liu, R Wu, B Van Hoorick… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an
object given just a single RGB image. To perform novel view synthesis in this …

One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization

M Liu, C Xu, H **, L Chen… - Advances in Neural …, 2024 - proceedings.neurips.cc
Single image 3D reconstruction is an important but challenging task that requires extensive
knowledge of our natural world. Many existing methods solve this problem by optimizing a …

Generative neural articulated radiance fields

A Bergman, P Kellnhofer, W Yifan… - Advances in …, 2022 - proceedings.neurips.cc
Unsupervised learning of 3D-aware generative adversarial networks (GANs) using only
collections of single-view 2D photographs has very recently made much progress. These 3D …

Nerfies: Deformable neural radiance fields

K Park, U Sinha, JT Barron, S Bouaziz… - Proceedings of the …, 2021 - openaccess.thecvf.com
We present the first method capable of photorealistically reconstructing deformable scenes
using photos/videos captured casually from mobile phones. Our approach augments neural …

Gart: Gaussian articulated template models

J Lei, Y Wang, G Pavlakos, L Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract We introduce Gaussian Articulated Template Model (GART) an explicit efficient and
expressive representation for non-rigid articulated subject capturing and rendering from …

Banmo: Building animatable 3d neural models from many casual videos

G Yang, M Vo, N Neverova… - Proceedings of the …, 2022 - openaccess.thecvf.com
Prior work for articulated 3D shape reconstruction often relies on specialized multi-view and
depth sensors or pre-built deformable 3D models. Such methods do not scale to diverse sets …

Magicpony: Learning articulated 3d animals in the wild

S Wu, R Li, T Jakab, C Rupprecht… - Proceedings of the …, 2023 - openaccess.thecvf.com
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. We present a …

Neural articulated radiance field

A Noguchi, X Sun, S Lin… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Abstract We present Neural Articulated Radiance Field (NARF), a novel deformable 3D
representation for articulated objects learned from images. While recent advances in 3D …