| Index | Name | URL | Year | Affiliation |
|---|---|---|---|---|
| [1] | SUN360 | http://3dvision.princeton.edu/projects/2012/SUN360/ | 2012 | Princeton University |
| [2] | Salient!360 | https://www.technicolor.com/dream/researchinnovation/salient-dataset-download | 2017 | University of Nantes |
| [3] | ODI Saliency | https://vsense.scss.tcd.ie/research/3dof/testbed/ | 2017 | Trinity College Dublin |
| [4] | VR Saliency | https://vsitzmann.github.io/vr-saliency/ | 2018 | Trinity College Dublin |
| [5] | F-360iSOD | https://github.com/PanoAsh/F-360iSOD | 2020 | University of Rennes |
| Index | Name | URL | Year | Affiliation |
|---|---|---|---|---|
| [1] | Moving Target | http://360videoexp.com/ | 2016 | University of California |
| [2] | 360 Video Database | http://vhil.stanford.edu/360-video-database/ | 2017 | Stanford University |
| [3] | 360 Head Movement | http://dash.ipv6.enstb.fr/headMovements/ | 2017 | IMT Atlantique |
| [4] | VR User Behavior | https://wuchlei-thu.github.io/ | 2017 | Tsinghua University |
| [5] | VR-HM48 | https://github.com/Archer-Tatsu/head-tracking | 2017 | Beihang University |
| [6] | 360 Dataset | https://nmsl.cs.nthu.edu.tw/360-video-project/ | 2017 | National Tsing Hua University |
| [7] | Sports-360 | http://aliensunmin.github.io/project/360video/ | 2017 | National Tsing Hua University |
| [8] | UN Salient360 | https://salient360.ls2n.fr/ | 2018 | University of Nantes |
| [9] | PanoSaliency | https://github.com/phananh1010/PanoSaliency | 2019 | Georgia State University |
| [10] | PVS-HM | https://github.com/YuhangSong/DHP | 2019 | Beihang University |
| [11] | VR Eye-Tracking | https://github.com/xuyanyu-shh/VR-EyeTracking | 2018 | ShanghaiTech University |
| [12] | Desktop360 | http://videolab.engineering.nyu.edu/Desktop360/ | 2018 | New York University |
| [13] | AVTrack360 | https://github.com/acmmmsys/2018-AVTrack360 | 2018 | Technical University Ilmenau |
| [14] | 360 EM Dataset | https://web.gin.gnode.org/ioannis.agtzidis/360_em_dataset | 2019 | Technical University of Munich |
| Index | Name | URL | Year | Affiliation |
|---|---|---|---|---|
| [1] | Upenik | - | 2016 | Ecole Polytechnique Federale de Lausanne |
| [2] | Upenik | - | 2017 | Ecole Polytechnique Federale de Lausanne |
| [3] | CVIQD | - | 2017 | Shanghai Jiao Tong University |
| [4] | CVIQD2018 | https://github.com/sunwei925/CVIQDatabase | 2018 | Shanghai Jiao Tong University |
| [5] | Huang | https://live.ece.utexas.edu/research/quality/immersive_images/ | 2018 | Nanjing University |
| [6] | OIQA | https://duanhuiyu.github.io/ | 2018 | Shanghai Jiao Tong University |
| [7] | Upenik | https://github.com/mmspg/saliencymetric360 | 2019 | Ecole Polytechnique Federale de Lausanne |
| [8] | Kim | http://ivylabdb.kaist.ac.kr | 2020 | Korea Advanced Institute of Science and Technology |
| [9] | Jabar | https://github.com/jascenso/IST-GPP-Dataset | 2020 | Universidade de Lisboa-Instituto de Telecomunicacoes |
| [10] | ISIQA | https://pavancm.github.io/stitched-qa/ | 2021 | Indian Institute of Science |
| [11] | MVAQD | https://github.com/Jianghao2019/MVAQD | 2021 | Ningbo University |
| [12] | IQA-ODI | https://github.com/yanglixiaoshen/SAP-Net | 2021 | Beihang University |
| [13] | Fang | https://github.com/LXLHXL123/JUFE-VRIQA | 2022 | Jiangxi University of Finance and Economics |
| [14] | OSIQA | https://duanhuiyu.github.io/ | 2023 | Shanghai Jiao Tong University |
| [15] | Simka | https://zenodo.org/records/10422786 | 2024 | Brno University of Technology |
| [16] | JUFE-10K | https://github.com/RJL2000/OIQAND | 2025 | Jiangxi University of Finance and Economics |
| [17] | OIQ-10K | https://github.com/WenJuing/IQCaption360 | 2025 | Jiangxi University of Finance and Economics |
| [18] | SOLID | https://faculty.ustc.edu.cn/chenzhibo/zh_CN/article/988216/content/2461.htm#article | 2018 | University of Science and Technology of China |
| [19] | LIVE 3D VR IQA | http://live.ece.utexas.edu/research/VR3D/index.html | 2020 | University of Texas at Austin |
| [20] | NBU-SOID | https://github.com/qyb123/NBU-SOID | 2020 | Ningbo University |
| [21] | FOIQA | https://doi.org/10.5281/zenodo.14009106 | 2025 | Norwegian University of Science and Technology |
| [22] | AIGCOIQA2024 | https://github.com/IntMeGroup/AIGCOIQA | 2024 | Shanghai Jiao Tong University |
| [23] | OHF2024 | https://github.com/IntMeGroup/AIGCOIQA | 2026 | Shanghai Jiao Tong University |
| Index | Name | URL | Year | Affiliation |
|---|---|---|---|---|
| [1] | IVQAD | https://duanhuiyu.github.io/ | 2017 | Shanghai Jiao Tong University |
| [2] | ODV Dataset | https://v-sense.scss.tcd.ie/research/voronoibased-objective-metrics/ | 2019 | Trinity College Dublin |
| [3] | VRQ-TJU | ftp://eeec.tju.edu.cn/VR | 2018 | Tianjin University |
| [4] | VR-VQA48 | https://github.com/Archer-Tatsu/head-tracking | 2017 | Beihang University |
| [5] | VQA-ODV | https://github.com/Archer-Tatsu/VQA-ODV | 2018 | Beihang University |
| [6] | Zhang-TBC2018 | - | 2018 | Wuhan University |
| [7] | Mahmoudpour-TCSVT2021 | http://data.etrovub.be/qualitydb/judder-vqa/ | 2021 | Vrije Universiteit Brussel |
| [8] | Fang-VRW2023 | https://github.com/Yao-Yiru/VR-Video-Database | 2023 | Jiangxi University of Finance and Economics |
| [9] | Zou-Access2018 | - | 2018 | Xidian University |
| [10] | Zhang-ICASSP2019 | - | 2019 | Xidian University |
| [11] | Zou-ICMEW2020 | - | 2020 | Xidian University |
| [12] | Tran-ICUFN2017 | - | 2017 | The University of Aizu |
| [13] | Tran-MMSP2017 | - | 2017 | The University of Aizu |
| [14] | Singla-ACMM2017 | - | 2017 | Technical University of Ilmenau, Germany |
| [15] | Singla-QoMEX2017 | https://zenodo.org/record/571065#.WQmaTYh95hE | 2017 | Technical University of Ilmenau, Germany |
| [16] | Singla-MMSys2019 | - | 2019 | Technical University of Ilmenau, Germany |
| [17] | Orduna-VRW2020 | www.gti.ssr.upm.es/data/ | 2020 | Universidad Politecnica de Madrid, Spain |
| [18] | Cortes-QoMEX2020 | - | 2020 | Universidad Politecnica de Madrid, Spain |
| [19] | Lopes-SPIE2018 | - | 2018 | Universidade de Lisboa, Portugal |
| [20] | Jabar-ICMEW2020 | - | 2020 | Universidade de Lisboa, Portugal |
| [21] | Zhang-ICMEW2017 | - | 2017 | Beijing Institute of Technology |
| [22] | Anwar-Access2020-1 | - | 2020 | Beijing Institute of Technology |
| [23] | Anwar-Access2020-2 | - | 2020 | Beijing Institute of Technology |
| [24] | Anwar-SCIS2020 | - | 2020 | Beijing Institute of Technology |
| [25] | Zheleva-QoMEX2020 | https://osf.io/48h26/?view_only=95dcbe79c0194487a684464e7f60e63f | 2020 | Ghent University, Belgium |
| [26] | Schatz-QoMEX2017 | - | 2017 | Austrian Institute of Technology |
| [27] | Schatz-QoMEX2019 | - | 2019 | Austrian Institute of Technology |
| [28] | Yao-QoMEX2019 | - | 2019 | National Tsing Hua University |
| [29] | Li-GLOBECOM2018 | - | 2018 | Hefei University of Technology |
| [30] | Curcio-AltMM2017 | - | 2017 | Tampere University of Technology, Finland |
| [31] | SSV360 | https://github.com/MajedElwardy/SSV360 | 2022 | Blekinge Institute of Technology, Sweden |
| [32] | ACR360 | https://github.com/MajedElwardy/ACR360 | 2023 | Blekinge Institute of Technology, Sweden |
| [33] | Chu-ICVRV2020 | - | 2020 | Blekinge Institute of Technology, Sweden |
| [34] | Zepernick-ICSPCS2019 | - | 2019 | Blekinge Institute of Technology, Sweden |
| [35] | Fei-JSTSP2020 | - | 2020 | Beijing Institute of Technology |
| [36] | Xie-TCSVT2020 | http://vision.nju.edu.cn/index.php/data-base/item/85-vds | 2020 | Shanghai Jiao Tong University |
| [37] | Zou-TCSVT2021 | - | 2021 | Xidian University |
| [38] | Meng-TCSVT2022 | https://vision.nju.edu.cn/20/86/c29466a467078/page.htm | 2022 | Nanjing University |
| [39] | VRQoE-JUFE | https://github.com/LXLHXL123/JUFE-VRQoE | 2024 | Jiangxi University of Finance and Economics |
| [40] | Zhang-ICMEW2018 | - | 2018 | Beijing Institute of Technology |
| [41] | Fela-ICMEW2022 | https://bit.ly/HOA-SSR-Dataset | 2022 | Nantes Universite, France |
| [42] | Zhu-arxiv2023 | https://github.com/iamazxl/OAVQA | 2023 | Shanghai Jiao Tong University |
| [43] |
[1] Spatial attention-based non-reference perceptual quality prediction network for omnidirectional images.
https://github.com/yanglixiaoshen/SAP-Net
[2] MC360IQA: A multi-channel cnn for blind 360-degree image quality assessment.
https://github.com/sunwei925/MC360IQA
[3] Blind omnidirectional image quality assessment with viewport oriented graph convolutional networks.
https://github.com/weizhou-geek/VGCN-PyTorch
[4] Perceptual quality assessment of omnidirectional images as moving camera videos.
https://github.com/xiangjieSui/img2video
[5] No-reference quality assessment for 360-degree images by analysis of multifrequency information and local-global naturalness.
https://github.com/weizhou-geek/MFILGN
[6] Perceptual quality assessment of omnidirectional images.
https://github.com/LXLHXL123/JUFE-VRIQA
[7] ST360IQ: No-reference omnidirectional image quality assessment with spherical vision transformers.
https://github.com/Nafiseh-Tofighi/ST360IQ
[8] Assessor360: Multi-sequence network for blind omnidirectional image quality assessment.
https://github.com/TianheWu/Assessor360
[9] Perceptual quality assessment of 360◦ images based on generative scanpath representation.
https://github.com/xiangjieSui/GSR
[10] Multitask auxiliary network for perceptual quality assessment of non-uniformly distorted omnidirectional images.
https://github.com/RJL2000/MTAOIQA
[11] Subjective and objective quality assessment of non-uniformly distorted omnidirectional images.
https://github.com/RJL2000/OIQAND
[12] Omnidirectional image quality captioning: A large-scale database and a new model.
https://github.com/WenJuing/IQCaption360
[13] Max360IQ: Blind omnidirectional image quality assessment with multi-axis attention.
https://github.com/WenJuing/Max360IQ
[14] Viewport-unaware blind omnidirectional image quality assessment: A flexible and effective paradigm.
https://github.com/KangchengWu/OIQA
[15] Viewport-unaware full-reference omnidirectional image quality assessment with inter-patch and sequence similarity.
https://github.com/18liu/IPSS
[1] Quality metric for spherical panoramic video.
https://github.com/Samsung/360tools
[2] Weighted-to-spherically-uniform quality evaluation for omnidirectional video.
https://github.com/Rouen007/WS-PSNR
[3] Blind VQA on 360◦ video via progressively learning from pixels, frames, and video.
https://github.com/yanglixiaoshen/ProVQA
[4] Omnidirectional video quality assessment with causal intervention.
https://github.com/Aca4peop/CIQNet
[5] A framework to evaluate omnidirectional video coding schemes.
https://github.com/Samsung/360tools
[6] Quality assessment for omnidirectional video: A spatio-temporal distortion modeling approach.
https://github.com/I2-Multimedia-Lab/360-video-experimental-platform
[7] Vewport proposal CNN for 360◦ video quality assessment.
https://github.com/Archer-Tatsu/V-CNN
[8] Viewport-based omnidirectional video quality assessment: Database, modeling and inference.
https://vision.nju.edu.cn/20/86/c29466a467078/page.htm
[9] Perceptual quality assessment of virtual reality videos in the wild.
https://github.com/limuhit/VR-Video-Quality-in-the-Wild
[10] Learned scanpaths aid blind panoramic video quality assessment.
https://github.com/kalofan/AutoScanpathQA
[11] No-reference 360° video quality measurement with local and global features fusion.
https://github.com/yeonhw/360BVQM