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Background Prompting for Improved Object Depth

Background Prompting for Improved Object Depth

8 June 2023
Manel Baradad
Yuanzhen Li
Forrester Cole
Michael Rubinstein
Antonio Torralba
William T. Freeman
Varun Jampani
    VLM
    MDE
ArXivPDFHTML

Papers citing "Background Prompting for Improved Object Depth"

5 / 5 papers shown
Title
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
Chongjie Ye
Lingteng Qiu
Xiaodong Gu
Qi Zuo
Yushuang Wu
Zilong Dong
Liefeng Bo
Yuliang Xiu
Xiaoguang Han
DiffM
32
39
0
24 Jun 2024
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins
Shubham Goel
Kenan Deng
Achleshwar Luthra
Leon L. Xu
...
T. F. Y. Vicente
T. Dideriksen
H. Arora
M. Guillaumin
Jitendra Malik
149
217
0
12 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,843
0
18 Apr 2021
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,707
0
06 Jun 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,444
0
21 Nov 2016
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