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Ai-generated content (aigc) for various data modalities: A survey
AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
Diffusion-based 3d human pose estimation with multi-hypothesis aggregation
In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise
reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D …
reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D …
Deep learning for 3d human pose estimation and mesh recovery: A survey
Abstract 3D human pose estimation and mesh recovery have attracted widespread research
interest in many areas, such as computer vision, autonomous driving, and robotics. Deep …
interest in many areas, such as computer vision, autonomous driving, and robotics. Deep …
Zigma: A dit-style zigzag mamba diffusion model
The diffusion model has long been plagued by scalability and quadratic complexity issues,
especially within transformer-based structures. In this study, we aim to leverage the long …
especially within transformer-based structures. In this study, we aim to leverage the long …
Unified pose sequence modeling
Abstract We propose a Unified Pose Sequence Modeling approach to unify heterogeneous
human behavior understanding tasks based on pose data, eg, action recognition, 3D pose …
human behavior understanding tasks based on pose data, eg, action recognition, 3D pose …
Ktpformer: Kinematics and trajectory prior knowledge-enhanced transformer for 3d human pose estimation
This paper presents a novel Kinematics and Trajectory Prior Knowledge-Enhanced
Transformer (KTPFormer) which overcomes the weakness in existing transformer-based …
Transformer (KTPFormer) which overcomes the weakness in existing transformer-based …
Diffusion-based image translation with label guidance for domain adaptive semantic segmentation
Translating images from a source domain to a target domain for learning target models is
one of the most common strategies in domain adaptive semantic segmentation (DASS) …
one of the most common strategies in domain adaptive semantic segmentation (DASS) …
Finepose: Fine-grained prompt-driven 3d human pose estimation via diffusion models
Abstract The 3D Human Pose Estimation (3D HPE) task uses 2D images or videos to predict
human joint coordinates in 3D space. Despite recent advancements in deep learning-based …
human joint coordinates in 3D space. Despite recent advancements in deep learning-based …
Monodiff: Monocular 3d object detection and pose estimation with diffusion models
Abstract 3D object detection and pose estimation from a single-view image is challenging
due to the high uncertainty caused by the absence of 3D perception. As a solution recent …
due to the high uncertainty caused by the absence of 3D perception. As a solution recent …
Back to optimization: Diffusion-based zero-shot 3d human pose estimation
Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with
significantly better performance in most benchmarks than traditional optimization-based …
significantly better performance in most benchmarks than traditional optimization-based …