Humannerf: Free-viewpoint rendering of moving people from monocular video

CY Weng, B Curless, PP Srinivasan… - Proceedings of the …, 2022 - openaccess.thecvf.com
We introduce a free-viewpoint rendering method--HumanNeRF--that works on a given
monocular video of a human performing complex body motions, eg a video from YouTube …

Avatarclip: Zero-shot text-driven generation and animation of 3d avatars

F Hong, M Zhang, L Pan, Z Cai, L Yang… - arxiv preprint arxiv …, 2022 - arxiv.org
3D avatar creation plays a crucial role in the digital age. However, the whole production
process is prohibitively time-consuming and labor-intensive. To democratize this technology …

Deep learning in virtual try-on: A comprehensive survey

T Islam, A Miron, X Liu, Y Li - IEEE Access, 2024 - ieeexplore.ieee.org
Virtual try-on technology has gained significant importance in the retail industry due to its
potential to transform the way customers interact with products and make purchase …

Text2human: Text-driven controllable human image generation

Y Jiang, S Yang, H Qiu, W Wu, CC Loy… - ACM Transactions on …, 2022 - dl.acm.org
Generating high-quality and diverse human images is an important yet challenging task in
vision and graphics. However, existing generative models often fall short under the high …

Stylegan-human: A data-centric odyssey of human generation

J Fu, S Li, Y Jiang, KY Lin, C Qian, CC Loy… - … on Computer Vision, 2022 - Springer
Unconditional human image generation is an important task in vision and graphics, enabling
various applications in the creative industry. Existing studies in this field mainly focus on …

Ag3d: Learning to generate 3d avatars from 2d image collections

Z Dong, X Chen, J Yang, MJ Black… - Proceedings of the …, 2023 - openaccess.thecvf.com
While progress in 2D generative models of human appearance has been rapid, many
applications require 3D avatars that can be animated and rendered. Unfortunately, most …

Coarse-to-fine latent diffusion for pose-guided person image synthesis

Y Lu, M Zhang, AJ Ma, X **e… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Diffusion model is a promising approach to image generation and has been employed for
Pose-Guided Person Image Synthesis (PGPIS) with competitive performance. While existing …

Pose with style: Detail-preserving pose-guided image synthesis with conditional stylegan

B AlBahar, J Lu, J Yang, Z Shu, E Shechtman… - ACM Transactions on …, 2021 - dl.acm.org
We present an algorithm for re-rendering a person from a single image under arbitrary
poses. Existing methods often have difficulties in hallucinating occluded contents photo …

Neural texture extraction and distribution for controllable person image synthesis

Y Ren, X Fan, G Li, S Liu, TH Li - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
We deal with the controllable person image synthesis task which aims to re-render a human
from a reference image with explicit control over body pose and appearance. Observing that …

Make-an-animation: Large-scale text-conditional 3d human motion generation

S Azadi, A Shah, T Hayes, D Parikh… - Proceedings of the …, 2023 - openaccess.thecvf.com
Text-guided human motion generation has drawn significant interest because of its impactful
applications spanning animation and robotics. Recently, application of diffusion models for …