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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.CV2026

Human4K: A Large-Scale 4K Multi-View Mocap Dataset for Whole-Body 3D Human Reconstruction

Tianshun Han, Ziyu Shi, Lijian Liu +7

The paper introduces Human4K, a large-scale dataset of 4K multi-view images with precise SMPL-X motion capture annotations for whole-body 3D human reconstruction, aiming to improve…

cs.CV2025

MoReFun: Past-Movement Guided Motion Representation Learning for Future Motion Prediction and Understanding

Junyu Shi, Haoting Wu, Zhiyuan Zhang +3

3D human motion prediction aims to generate coherent future motions from observed sequences, yet existing end-to-end regression frameworks often fail to capture complex dynamics an…

cs.CV2025

EmbryoDiff: A Conditional Diffusion Framework with Multi-Focal Feature Fusion for Fine-Grained Embryo Developmental Stage Recognition

Yong Sun, Zhengjie Zhang, Junyu Shi +3

Identification of fine-grained embryo developmental stages during In Vitro Fertilization (IVF) is crucial for assessing embryo viability. Although recent deep learning methods have…

cs.CV2025

MoGIC: Boosting Motion Generation via Intention Understanding and Visual Context

Junyu Shi, Yong Sun, Zhiyuan Zhang +4

Existing text-driven motion generation methods often treat synthesis as a bidirectional mapping between language and motion, but remain limited in capturing the causal logic of act…

cs.CV2025

GenM: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation

Junyu Shi, Lijiang Liu, Yong Sun +3

Scaling up motion datasets is crucial to enhance motion generation capabilities. However, training on large-scale multi-source datasets introduces data heterogeneity challenges due…

cs.RO2025

ExoGait-MS: Learning Periodic Dynamics with Multi-Scale Graph Network for Exoskeleton Gait Recognition

Lijiang Liu, Junyu Shi, Yong Sun +4

Current exoskeleton control methods often face challenges in delivering personalized treatment. Standardized walking gaits can lead to patient discomfort or even injury. Therefore,…