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Found 7 papers, 3 papers with code
PackDiT: Joint Human Motion and Text Generation via Mutual Prompting
Human motion generation has advanced markedly with the advent of diffusion models.
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
Our method is motivated by the fact that generative models learn the distribution of normal and abnormal images, and such knowledge is complementary to image understanding tasks.
Detection-Triggered Recursive Impact Mitigation against Secondary False Data Injection Attacks in Microgrids
The proposed mitigation method can work even in the worst case where all communication links are under SFDIAs and only require extra current sensors.
UniHPE: Towards Unified Human Pose Estimation via Contrastive Learning
In this paper, we propose UniHPE, a unified Human Pose Estimation pipeline, which aligns features from all three modalities, i. e., 2D human pose estimation, lifting-based and image-based 3D human pose estimation, in the same pipeline.
Ranked #73 on
3D Human Pose Estimation
on 3DPW
(PA-MPJPE metric)
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation
We further apply a guided diffusion model to domain adapt 3D adult pose to infant pose to supplement small datasets.
CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility
In this paper, we present CValues, the first Chinese human values evaluation benchmark to measure the alignment ability of LLMs in terms of both safety and responsibility criteria.
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 methods.
Ranked #11 on
3D Human Pose Estimation
on 3DPW
(PA-MPJPE metric)
