Fetching the paper…
Reading the bibliography…
Even if the depth maps captured by RGB-D sensors deployed in real environments are often characterized by large areas missing valid depth measurements, the vast majority of depth completion methods still assumes depth values covering all areas of the scene.
Indoor segmentation and support inference from rgbd images
Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus · 2012
Earlier work this paper cites.
Virtual worlds as proxy for multi-object tracking analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon, and Eleonora Vig · 2016
Earlier work this paper cites.
Learning Affinity via Spatial Propagation Networks
Sifei Liu, Shalini De Mello, Jinwei Gu, Guangyu Zhong, Ming-Hsuan Yang, and Jan Kautz · 2017
Earlier work this paper cites.
Sparsity Invariant CNNs
Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, and Andreas Geiger · 2017
Earlier work this paper cites.
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
Xinjing Cheng, Peng Wang, and Ruigang Yang · 2018
Earlier work this paper cites.
In Defense of Classical Image Processing: Fast Depth Completion on the CPU
Jason Ku, Ali Harakeh, and Steven L. Waslander · 2018
Earlier work this paper cites.
Virtual kitti 2, 2020
Yohann Cabon, Naila Murray, and Martin Humenberger · 2020
Earlier work this paper cites.
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion
Xinjing Cheng, Peng Wang, Chenye Guan, and Ruigang Yang · 2020
Earlier work this paper cites.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Non-local Spatial Propagation Network for Depth Completion
Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, and In So Kweon · 2020
Earlier work this paper cites.
Learning guided convolutional network for depth completion
Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, and Ping Tan · 2020
Earlier work this paper cites.
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models, Sept. 2021
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
Earlier work this paper cites.
PENet: Towards Precise and Efficient Image Guided Depth Completion
Mu Hu, Shuling Wang, Bin Li, Shiyu Ning, Li Fan, and Xiaojin Gong · 2021
Earlier work this paper cites.
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Earlier work this paper cites.
Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding
Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Angel Bautista, Nathan Paczan, Russ Webb, and Joshua M. Susskind · 2021
Earlier work this paper cites.
Bridging depth estimation and completion for mobile robots reliable 3D perception
Dimitrios Arapis, Milad Jami, and Lazaros Nalpantidis · 2022
Earlier work this paper cites.
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
Cited alongside, same era.
Diffusion Models as Plug-and-Play Priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, and Dimitris Samaras · 2022
Cited alongside, same era.
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
Cited alongside, same era.
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Cited alongside, same era.
SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion
Danish Nazir, Alain Pagani, Marcus Liwicki, Didier Stricker, and Muhammad Zeshan Afzal · 2022
Cited alongside, same era.
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
Rene Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2022
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, and Tim K. Marks · 2023
Later among the works it cites.
NDDepth: Normal-Distance Assisted Monocular Depth Estimation
Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, and Zhengguo Li · 2023
Later among the works it cites.
LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, and Yuchao Dai · 2023
Later among the works it cites.
Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion
Yufei Wang, Yuxin Mao, Qi Liu, and Yuchao Dai · 2023
Later among the works it cites.
RigNet++: Efficient Repetitive Image Guided Network for Depth Completion, Sept. 2023
Zhiqiang Yan, Xiang Li, Zhenyu Zhang, Jun Li, and Jian Yang · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Progressive Distillation for Fast Sampling of Diffusion Models, June 2022
Tim Salimans and Jonathan Ho · 2022
Cited alongside, same era.
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, and Tom Goldstein · 2023
Cited alongside, same era.
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth, Feb. 2023
Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, and Matthias Müller · 2023
Cited alongside, same era.
Sparsity Agnostic Depth Completion
Andrea Conti, Matteo Poggi, and Stefano Mattoccia · 2023
Cited alongside, same era.
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation, Aug. 2023
Yiqun Duan, Xianda Guo, and Zheng Zhu · 2023
Cited alongside, same era.
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Later among the works it cites.
CompletionFormer: Depth Completion With Convolutions and Vision Transformers
Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, and Stefano Mattoccia · 2023
Later among the works it cites.
https://github.com/huggingface/diffusers
GitHub - huggingface/diffusers: Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX · 2024
Closest in time.
https://huggingface.co/prs-eth/marigold-depth-v1-0
prs-eth/marigold-depth-v1-0 · Hugging Face · 2024
Closest in time.
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, and Ying Shan · 2024
Closest in time.
UniDepth: Universal Monocular Metric Depth Estimation, Mar. 2024
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, and Fisher Yu · 2024
Closest in time.
Bilateral Propagation Network for Depth Completion, Apr. 2024
Jie Tang, Fei-Peng Tian, Boshi An, Jian Li, and Ping Tan · 2024
Closest in time.
Improving Depth Completion via Depth Feature Upsampling
Yufei Wang, Ge Zhang, Shaoqian Wang, Bo Li, Qi Liu, Le Hui, and Yuchao Dai · 2024
Closest in time.
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion
Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, and Jian Yang · 2024
Closest in time.
Depth anything: Unleashing the power of large-scale unlabeled data
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, and Hengshuang Zhao · 2024
Closest in time.
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations, June 2024
Yiming Zuo and Jia Deng · 2024
Closest in time.