Depth Super-Resolution from Explicit and Implicit High-Frequency
Features

Depth Super-Resolution from Explicit and Implicit High-Frequency Features

16 March 2023

Fabio Tosi

Matteo Poggi

Papers citing "Depth Super-Resolution from Explicit and Implicit High-Frequency Features"

8 / 8 papers shown

Title
Cross-spectral Gated-RGB Stereo Depth Estimation Samuel Brucker Stefanie Walz Mario Bijelic Felix Heide MDE 16 3 0 21 May 2024
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods Xin Qiao Matteo Poggi Pengchao Deng Hao Wei Chenyang Ge S. Mattoccia 22 3 0 16 May 2024
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution Zhengxu Wang Zhiqiang Yan Jian Yang 11 23 0 10 Dec 2023
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao 119 1,420 0 04 Feb 2021
DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection Zuyao Chen Runmin Cong Qianqian Xu Qingming Huang 219 168 0 19 Mar 2020
Deformable Kernel Networks for Joint Image Filtering Beomjun Kim Jean Ponce Bumsub Ham 47 124 0 17 Oct 2019
ELASTIC: Improving CNNs with Dynamic Scaling Policies Huiyu Wang Aniruddha Kembhavi Ali Farhadi Alan Yuille Mohammad Rastegari 95 57 0 13 Dec 2018