Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • FineXtrol: Controllable Motion Generation via Fine-Grained Text
Cover Image

FineXtrol: Controllable Motion Generation via Fine-Grained Text

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Shen, Keming, Wu, Bizhu, Chen, Junliang, Wang, Xiaoqin, Shen, Linlin
Format: Preprint
Published: 2025
Subjects:
Computer Vision and Pattern Recognition
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2511.18927

Similar Items

  • FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing
    by: Wu, Bizhu, et al.
    Published: (2025)
  • MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities
    by: Wu, Bizhu, et al.
    Published: (2025)
  • MotionMERGE: A Multi-granular Framework for Human Motion Editing, Reasoning, Generation, and Explanation
    by: Wu, Bizhu, et al.
    Published: (2026)
  • Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation
    by: Chen, Wenting, et al.
    Published: (2023)
  • MotionCharacter: Fine-Grained Motion Controllable Human Video Generation
    by: Fang, Haopeng, et al.
    Published: (2024)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar