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. 2302.09301
  4. Cited By
Exploring the Representation Manifolds of Stable Diffusion Through the
  Lens of Intrinsic Dimension

Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension

16 February 2023
Henry Kvinge
Davis Brown
Charles Godfrey
    DiffM
ArXivPDFHTML

Papers citing "Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension"

6 / 6 papers shown
Title
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Theodoros Kouzelis
Ioannis Kakogeorgiou
Spyros Gidaris
N. Komodakis
DRL
166
6
0
17 Feb 2025
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
158
1,089
0
22 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
282
6,768
0
13 Apr 2022
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
224
264
0
18 Apr 2021
Explaining Neural Scaling Laws
Explaining Neural Scaling Laws
Yasaman Bahri
Ethan Dyer
Jared Kaplan
Jaehoon Lee
Utkarsh Sharma
48
256
0
12 Feb 2021
A Neural Scaling Law from the Dimension of the Data Manifold
A Neural Scaling Law from the Dimension of the Data Manifold
Utkarsh Sharma
Jared Kaplan
44
52
0
22 Apr 2020
1