ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.18999
  4. Cited By
Graph-based Unsupervised Disentangled Representation Learning via
  Multimodal Large Language Models

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models

26 July 2024
Baao Xie
Qiuyu Chen
Yunnan Wang
Zequn Zhang
Xin Jin
Wenjun Zeng
    OffRL
ArXivPDFHTML

Papers citing "Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models"

4 / 4 papers shown
Title
$α$-TCVAE: On the relationship between Disentanglement and
  Diversity
ααα-TCVAE: On the relationship between Disentanglement and Diversity
Cristian Meo
Louis Mahon
Anirudh Goyal
Justin Dauwels
DRL
49
8
0
01 Nov 2024
Choose What You Need: Disentangled Representation Learning for Scene
  Text Recognition, Removal and Editing
Choose What You Need: Disentangled Representation Learning for Scene Text Recognition, Removal and Editing
Boqiang Zhang
Hongtao Xie
Zuan Gao
Yuxin Wang
3DV
OOD
DRL
51
7
0
07 May 2024
Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE
  Distillation and Diffusion Probabilistic Feedback
Closed-Loop Unsupervised Representation Disentanglement with βββ-VAE Distillation and Diffusion Probabilistic Feedback
Xin Jin
Bo Li
Baao Xie
Wenyao Zhang
Jinming Liu
Ziqiang Li
Tao Yang
Wenjun Zeng
DRL
DiffM
CoGe
27
7
0
04 Feb 2024
Disentangling Generative Factors in Natural Language with Discrete
  Variational Autoencoders
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
Giangiacomo Mercatali
André Freitas
CoGe
DRL
32
23
0
15 Sep 2021
1