Sep 15, 2021 · We propose Neural Human Performer, a novel approach that learns generalizable neural radiance fields based on a parametric human body model for robust ...
In this paper, we aim at a scalable solution for free-viewpoint human performance rendering that generalizes across different human performers and requires only.
Jan 25, 2022 · Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. Project Page | Video | Paper
Nov 9, 2021 · We propose Neural Human Performer, a novel approach that learns generalizable neural radiance fields based on a parametric human body model for robust ...
Jun 10, 2024 · In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human performance using sparse multi-view cameras.
This paper proposes Neural Human Performer, a novel approach that learns generalizable neural radiance fields based on a parametric human body model for ...
We use the 512 × 512 videos for the training and testing following the original Neural Body [7]. ZJU-Mocap provides 10 human subjects, and we reserved 7 for the ...
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs.
Sep 8, 2024 · In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human performance using sparse multi-view cameras.
We present a method that enables synthesizing novel views and novel poses of arbitrary human performers from sparse multi-view images.