DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
We present DPoser-X, a diffusion-based prior model for 3D whole-body human
poses. Building a versatile and robust full-body human pose prior remains
challenging due to the inherent complexity of articulated human poses and the
scarcity of high-quality whole-body pose datasets. To address these
limitations, we introduce a Diffusion model as body Pose prior (DPoser) and
extend it to DPoser-X for expressive whole-body human pose modeling. Our
approach unifies various pose-centric tasks as inverse problems, solving them
through variational diffusion sampling. To enhance performance on downstream
applications, we introduce a novel truncated timestep scheduling method
specifically designed for pose data characteristics. We also propose a masked
training mechanism that effectively combines whole-body and part-specific
datasets, enabling our model to capture interdependencies between body parts
while avoiding overfitting to specific actions. Extensive experiments
demonstrate DPoser-X's robustness and versatility across multiple benchmarks
for body, hand, face, and full-body pose modeling. Our model consistently
outperforms state-of-the-art alternatives, establishing a new benchmark for
whole-body human pose prior modeling.
689188a5f01a094725f83540
Junzhe Lu
claimed_verified
2025-08-07T10:42:35.914Z
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https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/sVFCwTSQyA1hNVbyIennB.jpeg
Junzhe Lu
user
Moon-bow
689188a5f01a094725f83541
Jing Lin
689188a5f01a094725f83542
Hongkun Dou
689188a5f01a094725f83543
Ailing Zeng
689188a5f01a094725f83544
Yue Deng
689188a5f01a094725f83545
Xian Liu
689188a5f01a094725f83546
Zhongang Cai
claimed_verified
2025-08-19T10:50:29.149Z
652d06833b5997ed71ce5c46
https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/xZTXEcnEogEmBm_ledJQr.jpeg
Zhongang Cai
user
caizhongang
689188a5f01a094725f83547
Lei Yang
claimed_verified
2025-08-19T10:50:26.462Z
6626a471430a124253f197c8
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yl-1993
user
yl-1993
689188a5f01a094725f83548
Yulun Zhang
689188a5f01a094725f83549
Haoqian Wang
689188a5f01a094725f8354a
Ziwei Liu
DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
We present DPoser-X, a diffusion-based prior model for 3D whole-body human
poses. Building a versatile and robust full-body human pose prior remains
challenging due to the inherent complexity of articulated human poses and the
scarcity of high-quality whole-body pose datasets. To address these
limitations, we introduce a Diffusion model as body Pose prior (DPoser) and
extend it to DPoser-X for expressive whole-body human pose modeling. Our
approach unifies various pose-centric tasks as inverse problems, solving them
through variational diffusion sampling. To enhance performance on downstream
applications, we introduce a novel truncated timestep scheduling method
specifically designed for pose data characteristics. We also propose a masked
training mechanism that effectively combines whole-body and part-specific
datasets, enabling our model to capture interdependencies between body parts
while avoiding overfitting to specific actions. Extensive experiments
demonstrate DPoser-X's robustness and versatility across multiple benchmarks
for body, hand, face, and full-body pose modeling. Our model consistently
outperforms state-of-the-art alternatives, establishing a new benchmark for
whole-body human pose prior modeling.
DPoser-X, a diffusion-based model, addresses the complexity of 3D human poses using variational diffusion sampling and a novel truncated timestep scheduling method, outperforming existing models across various pose benchmarks.
diffusion-based prior model variational diffusion sampling truncated timestep scheduling masked training mechanism whole-body human pose modeling body hand face full-body pose modeling