Large Language Models Can Understanding Depth from Monocular Images

2 September 2024

Papers citing "Large Language Models Can Understanding Depth from Monocular Images"

4 / 4 papers shown

Title
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network D. Shim H. J. Kim ViT MDE 101 23 0 17 Jan 2023
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
AdaBins: Depth Estimation using Adaptive Bins S. Bhat Ibraheem Alhashim Peter Wonka 3DV MDE ViT 136 861 0 28 Nov 2020
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation Dan Xu Elisa Ricci Wanli Ouyang Xiaogang Wang N. Sebe 119 417 0 07 Apr 2017