PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution
Monocular Metric Depth Estimation

PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation

10 June 2024

Shariq Farooq Bhat

Papers citing "PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation"

8 / 8 papers shown

Title
One Look is Enough: A Novel Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation Models on High-Resolution Images Byeongjun Kwon Munchurl Kim VLM MDE 49 0 0 28 Mar 2025
Survey on Monocular Metric Depth Estimation Jiuling Zhang VLM 69 0 0 21 Jan 2025
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation Zhenyu Li Wenqing Cui S. Bhat Peter Wonka MDE 23 0 0 03 Jan 2025
SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation Duc-Hai Pham Tung Do P. Nguyen Binh-Son Hua K. Nguyen Rang Nguyen MDE 76 1 0 27 Nov 2024
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Lihe Yang Bingyi Kang Zilong Huang Xiaogang Xu Jiashi Feng Hengshuang Zhao VLM 139 681 0 19 Jan 2024
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation Aakash Rajpal N. Cheema K. Illgner-Fehns P. Slusallek S. Jaiswal MDE 3DV 29 12 0 02 May 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception Wenliang Zhao Yongming Rao Zuyan Liu Benlin Liu Jie Zhou Jiwen Lu ObjD VLM MDE 156 213 0 03 Mar 2023
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