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Renderers are Good Zero-Shot Representation Learners: Exploring
  Diffusion Latents for Metric Learning

Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning

19 June 2023
Michael Tang
David Shustin
    DiffM
ArXivPDFHTML

Papers citing "Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning"

4 / 4 papers shown
Title
Shap-E: Generating Conditional 3D Implicit Functions
Shap-E: Generating Conditional 3D Implicit Functions
Heewoo Jun
Alex Nichol
DiffM
197
309
0
03 May 2023
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth
  Estimation
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
Yiqun Duan
Xianda Guo
Zhengbiao Zhu
DiffM
MDE
48
68
0
09 Mar 2023
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic
  Model
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu
Rao Fu
Huihui Fang
Yu Zhang
Yehui Yang
Haoyi Xiong
Huiying Liu
Yanwu Xu
MedIm
VLM
DiffM
103
241
0
01 Nov 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
1