Digitizing intangible cultural heritage embodied: State of the art

Y Hou, S Kenderdine, D Picca, M Egloff… - Journal on Computing …, 2022 - dl.acm.org
Intangible cultural heritage (ICH) as a field of research and site for digital efforts has grown
significantly since the UNESCO 2003 Convention for the Safeguarding of Intangible …

Human motion generation: A survey

W Zhu, X Ma, D Ro, H Ci, J Zhang, J Shi… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …

Motion-x: A large-scale 3d expressive whole-body human motion dataset

J Lin, A Zeng, S Lu, Y Cai, R Zhang… - Advances in Neural …, 2023 - proceedings.neurips.cc
In this paper, we present Motion-X, a large-scale 3D expressive whole-body motion dataset.
Existing motion datasets predominantly contain body-only poses, lacking facial expressions …

Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation

L Ruan, Y Ma, H Yang, H He, B Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
We propose the first joint audio-video generation framework that brings engaging watching
and listening experiences simultaneously, towards high-quality realistic videos. To generate …

Neural actor: Neural free-view synthesis of human actors with pose control

L Liu, M Habermann, V Rudnev, K Sarkar… - ACM transactions on …, 2021 - dl.acm.org
We propose Neural Actor (NA), a new method for high-quality synthesis of humans from
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …

Ai choreographer: Music conditioned 3d dance generation with aist++

R Li, S Yang, DA Ross… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
We present AIST++, a new multi-modal dataset of 3D dance motion and music, along with
FACT, a Full-Attention Cross-modal Transformer network for generating 3D dance motion …

Humor: 3d human motion model for robust pose estimation

D Rempe, T Birdal, A Hertzmann… - Proceedings of the …, 2021 - openaccess.thecvf.com
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose
and shape. Though substantial progress has been made in estimating 3D human motion …

Dna-rendering: A diverse neural actor repository for high-fidelity human-centric rendering

W Cheng, R Chen, S Fan, W Yin… - Proceedings of the …, 2023 - openaccess.thecvf.com
Realistic human-centric rendering plays a key role in both computer vision and computer
graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing …

Neural human performer: Learning generalizable radiance fields for human performance rendering

Y Kwon, D Kim, D Ceylan… - Advances in Neural …, 2021 - proceedings.neurips.cc
In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human
performance using sparse multi-view cameras. Recently, several works have addressed this …

High-fidelity clothed avatar reconstruction from a single image

T Liao, X Zhang, Y Xiu, H Yi, X Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper presents a framework for efficient 3D clothed avatar reconstruction. By combining
the advantages of the high accuracy of optimization-based methods and the efficiency of …