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- NeuMan: Neural Human Radiance Field from a Single Video
We propose a novel framework to reconstruct the human and the scene that can be rendered with novel human poses and views from just a single in-the-wild video Given a video captured by a moving camera, we train two NeRF models: a human NeRF model and a scene NeRF model
- NeuMan: Neural Human Radiance Field from a Single Video - ECVA
We propose a novel framework to reconstruct the human and the scene that can be rendered with novel human poses and views from just a single in-the-wild video Given a video captured by a moving camera, we train two NeRF models: human NeRF model and a scene NeRF model
- NeuMan: Neural Human Radiance Field from a Single Video
We propose a novel framework to reconstruct the human and the scene that can be rendered with novel human poses and views from just a single in-the-wild video Given a video captured by a moving camera, we train two NeRF models: a human NeRF model and a scene NeRF model
- NeuMan: Neural Human Radiance Field from a Single Video
We propose a novel framework to reconstruct the human and the scene that can be rendered with novel human poses and views from just a single in-the-wild video Given a video captured by a moving camera, we train two NeRF models: a human NeRF model and a scene NeRF model
- NeuMan: Neural Human Radiance Field from a Single Video
This repository is a reference implementation for NeuMan NeuMan reconstructs both the background scene and an animatable human from a single video using neural radiance fields
- github. com-apple-ml-neuman_-_2022-08-11_20-16-38 : apple . . .
NeuMan: Neural Human Radiance Field from a Single Video This repository is a reference implementation for NeuMan NeuMan reconstructs both the background scene and an animatable human from a single video using neural radiance fields
- NeuMan: Neural Human Radiance Field from a Single Video
Reconstruct both the background scene, and an animatable human model from a single video, without any manual annotations or extra devices more Project page:
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