The Surprising Effectiveness of Diffusion Models for Optical Flow and
Monocular Depth Estimation

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

2 June 2023

Charles Herrmann

Mohammad Norouzi

David J. Fleet

Papers citing "The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation"

17 / 67 papers shown

Title
RecDiffusion: Rectangling for Image Stitching with Diffusion Models Tianhao Zhou Haipeng Li Ziyi Wang Ao Luo Chen-Lin Zhang Jiajun Li Bing Zeng Shuaicheng Liu DiffM 24 9 0 28 Mar 2024
DepthFM: Fast Monocular Depth Estimation with Flow Matching Ming Gui Johannes S. Fischer Ulrich Prestel Pingchuan Ma Dmytro Kotovenko Olga Grebenkova S. A. Baumann Vincent Tao Hu Bjorn Ommer MDE 29 51 0 20 Mar 2024
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image Xiao Fu Wei Yin Mu Hu Kaixuan Wang Yuexin Ma Ping Tan Shaojie Shen Dahua Lin Xiaoxiao Long DiffM 48 103 0 18 Mar 2024
DiffSF: Diffusion Models for Scene Flow Estimation Yushan Zhang Bastian Wandt Maria Magnusson Michael Felsberg DiffM 40 1 0 08 Mar 2024
Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 6 43 0 28 Dec 2023
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model Saurabh Saxena Junhwa Hur Charles Herrmann Deqing Sun David J. Fleet DiffM 41 24 0 20 Dec 2023
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation B. Ke Anton Obukhov Shengyu Huang Nando Metzger Rodrigo Caye Daudt Konrad Schindler VLM MDE 19 141 0 04 Dec 2023
Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation Qiaole Dong Bo Zhao Yanwei Fu 6 2 0 04 Dec 2023
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model Shuwei Shao Zhongcai Pei Weihai Chen Dingchi Sun Peter C. Y. Chen Zhengguo Li MDE DiffM 11 7 0 13 Nov 2023
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators Haiping Wang Yuan-Bin Liu Bing Wang Yujing Sun Zhenchao Dong Wenping Wang Bisheng Yang DiffM 23 10 0 05 Oct 2023
Generative Image Dynamics Zhengqi Li Richard Tucker Noah Snavely Aleksander Holynski DiffM 29 63 0 14 Sep 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 50 0 07 Jun 2023
Diffusion Model for Dense Matching Jisu Nam Gyuseong Lee Sunwoo Kim Ines Hyeonsu Kim Hyoungwon Cho Seyeong Kim Seung Wook Kim DiffM 18 9 0 30 May 2023
Revealing the Dark Secrets of Masked Image Modeling Zhenda Xie Zigang Geng Jingcheng Hu Zheng-Wei Zhang Han Hu Yue Cao VLM 186 105 0 26 May 2022
Disentangling Architecture and Training for Optical Flow Deqing Sun Charles Herrmann F. Reda Michael Rubinstein David Fleet William T. Freeman 3DPC OOD 53 33 0 21 Mar 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,687 0 06 Jun 2018