[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Deep learning tools for the measurement of animal behavior in neuroscience
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 …
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
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 …
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
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 …
knowledge of our natural world. Many existing methods solve this problem by optimizing a …
Generative neural articulated radiance fields
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 …
collections of single-view 2D photographs has very recently made much progress. These 3D …
Nerfies: Deformable neural radiance fields
We present the first method capable of photorealistically reconstructing deformable scenes
using photos/videos captured casually from mobile phones. Our approach augments neural …
using photos/videos captured casually from mobile phones. Our approach augments neural …
Gart: Gaussian articulated template models
Abstract We introduce Gaussian Articulated Template Model (GART) an explicit efficient and
expressive representation for non-rigid articulated subject capturing and rendering from …
expressive representation for non-rigid articulated subject capturing and rendering from …
Banmo: Building animatable 3d neural models from many casual videos
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 …
depth sensors or pre-built deformable 3D models. Such methods do not scale to diverse sets …
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. We present a …
lighting of an articulated animal like a horse given a single test image as input. We present a …
Neural articulated radiance field
Abstract We present Neural Articulated Radiance Field (NARF), a novel deformable 3D
representation for articulated objects learned from images. While recent advances in 3D …
representation for articulated objects learned from images. While recent advances in 3D …