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Found 6 papers, 1 papers with code
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
Splatter Image is based on Gaussian Splatting, which allows fast and high-quality reconstruction of 3D scenes from multiple images.
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data
We fit a diffusion model to a large number of viewsets for a given category of objects.
Photo-realistic 360 Head Avatars in the Wild
To overcome this, we propose a novel landmark detector trained on synthetic data to estimate camera poses from 360 degree mobile phone videos of a human head for use in a multi-stage optimization process which creates a photo-realistic avatar.
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
The recent increase in popularity of volumetric representations for scene reconstruction and novel view synthesis has put renewed focus on animating volumetric content at high visual quality and in real-time.
Discrete neural representations for explainable anomaly detection
The aim of this work is to detect and automatically generate high-level explanations of anomalous events in video.
X-MAN: Explaining multiple sources of anomalies in video
In an effort to tackle this problem we make the following contributions: (1) we show how to build interpretable feature representations suitable for detecting anomalies with state of the art performance, (2) we propose an interpretable probabilistic anomaly detector which can describe the reason behind it's response using high level concepts, (3) we are the first to directly consider object interactions for anomaly detection and (4) we propose a new task of explaining anomalies and release a large dataset for evaluating methods on this task.
