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Cool-Metaverse-Paper

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Cool Metaverse Related Papers and Resources.

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# Cool Metaverse Papers :computer: :eyeglasses: :earth_americas:

Cool Metaverse Related Papers and Resources.

Papers are organized based on topic and application field.

Please, feel free to send a PR or an issue to add new cool papers about metaverse or suggest modification of existing ones.

* [Reviews](#reviews)  
* [Applications](#applications)  
* [Deep learning models](#deep-learning-models)  
* [Datasets](#datasets)

## Reviews
| Title  | Publication | Project/Code|
| ------------- | ------------- |-----------------------------------------------------------------------------------------------------------------| 
| All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda| [arXiv preprint](https://arxiv.org/pdf/2110.05352.pdf) | :no_entry_sign:|
| A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges| [arXiv preprint](https://arxiv.org/abs/2111.09673) | :no_entry_sign:|
| How to Promote User Purchase in Metaverse? A Systematic Literature Review on Consumer Behavior Research and Virtual Commerce Application Design | [MDPI Applied Sciences](https://doi.org/10.3390/app112311087) | :no_entry_sign:|
| What is XR? Towards a Framework for Augmented and Virtual Reality | [CHB](https://www.sciencedirect.com/science/article/pii/S074756322200111X?via%3Dihub) | :no_entry_sign:|
| Shopping in virtual reality: A literature review and future agenda | [JBUSRED](https://doi.org/10.1016/j.jbusres.2021.04.075) | :no_entry_sign:|
| VR Shopping: A Review of Literature | [RESGATE](https://www.researchgate.net/publication/342492592_VR_Shopping_A_Review_of_Literature) | :no_entry_sign:|
| Augmented reality in retail: a systematic review of research foci and future research agenda | [IJRDM](http://dx.doi.org/10.1108/IJRDM-11-2020-0472) | :no_entry_sign:|
| Nostalgia beats the wow-effect: Inspiration, awe and meaningful associations in augmented reality marketing | [JRCS](https://www.sciencedirect.com/science/article/abs/pii/S0969698919306551?via%3Dihub) | :no_entry_sign:|
| Immersive technology: A meta-analysis of augmented/virtual reality applications and their impact on tourism experience | [IJTM](https://www.sciencedirect.com/science/article/pii/S0261517722000474?casa_token=U7hY499w9soAAAAA:d3H24dyx3NNsxj_hJP55qWKE3jLTeW8j4xCiwPXpbn2sccYLhaGA3sUZsRUNqYRraUEqPCfV) | :no_entry_sign:|
| Fusing Blockchain and AI with Metaverse: A survey | [arXiv preprint](https://arxiv.org/pdf/2201.03201.pdf) | :no_entry_sign:|
| Extended reality in spatial sciences: A review of research challenges and future directions | [MDPI ISPRS](https://www.mdpi.com/2220-9964/9/7/439) | :no_entry_sign:|
| Why and Who Will Adopt Extended Reality Technology? Literature Review, Synthesis, and Future Research Agenda | [SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3300469) | :no_entry_sign:|
| Thoughts on the Future of WebXR and the Immersive Web | [ISMARW](https://ieeexplore.ieee.org/document/8699303) | :no_entry_sign:|
| Mixed Reality (MR) for Generation Z in Cultural Heritage Tourism Towards Metaverse | [ENTER](https://doi.org/10.1007/978-3-030-94751-4_2) | :no_entry_sign:|
| A Systematic Literature Review on Extended Reality: Virtual, Augmented and Mixed Reality in Collaborative Working Life Setting.  | [IJVR](https://ijvr.eu/article/view/4620) | :no_entry_sign:|
| A study on metaverse hype for sustainable growth  | [IJASC](https://doi.org/10.7236/IJASC.2021.10.3.72) | :no_entry_sign:|
| Digital twin paradigm: A systematic literature review  | [Computers in Industry](https://doi.org/10.1016/j.compind.2021.103469) | :no_entry_sign:|
| Computer Vision in the Metaverse | [Journal of Metaverse](https://dergipark.org.tr/tr/download/article-file/2167684#:~:text=Computer%20vision%2C%20in%20XR%20applications,vision%20and%20represented%20as%20avatars.) | :no_entry_sign:|

## Applications
| Title  | Publication | Project/Code|
| ------------- | ------------- |-----------------------------------------------------------------------------------------------------------------|
| AnnHoloTator: A Mixed Reality Collaborative Platform for Manufacturing Work Instruction Interaction | [IEEE VE 2023](https://ieeexplore.ieee.org/abstract/document/10108830) |  :no_entry_sign: |
| iLabel: Interactive Neural Scene Labelling | [arXiv preprint](https://arxiv.org/pdf/2111.14637.pdf) |  [Project](https://edgarsucar.github.io/ilabel/) |
| SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video | [arXiv preprint](https://arxiv.org/pdf/2201.12792.pdf) | [Project](https://jby1993.github.io/SelfRecon/)|
| Enabling Continuous Object Recognition in Mobile Augmented Reality | [ACM IUI](https://dl.acm.org/doi/pdf/10.1145/3490100.3516459) |:no_entry_sign:|
| Ditto: Building Digital Twins of Articulated Objects from Interaction | [arXiv preprint](https://arxiv.org/pdf/2202.08227.pdf) | [Project](https://ut-austin-rpl.github.io/Ditto/) / [Code](https://github.com/UT-Austin-RPL/Ditto) |
| Urban Radiance Fields | [CVPR 2022](https://urban-radiance-fields.github.io/images/go_urf.pdf) | [Project](https://urban-radiance-fields.github.io/) |
| PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence | [AIT Lab repo](https://ait.ethz.ch/projects/2022/pina/downloads/main.pdf) |  [Project](https://zj-dong.github.io/pina/) / [Code](https://github.com/zj-dong/pina) |
| Exploiting fashion x-commerce through the empowerment of voice in the fashion virtual reality arena | [Virtual Reality](https://doi.org/10.1007/s10055-021-00602-6) | :no_entry_sign:|
|Revive Family Photo Albums through a Collaborative Environment Exploiting the HoloLens 2| [IEEE ISMARW](https://ieeexplore.ieee.org/abstract/document/9585874)|:no_entry_sign:|
|Solitary Jogging with A Virtual Runner using Smartglasses| [IEEE VR 2022](https://ieeevr.org/2022/program/papers/)|:no_entry_sign:|
|From photo to 3D to mixed reality: A complete workflow for cultural heritage visualisation and experience| [DAACH](https://www.sciencedirect.com/science/article/pii/S2212054819300153?casa_token=Noo8KkORO-UAAAAA:PSrAWm5Ddm0G8Of41JH9NDPSrwV5RKAzPambW9ufqf9N8WmBoWkK1rCxW1sVdxZ5Gl-FVi-XNw)|:no_entry_sign:|
|End-to-End Visual Editing with a Generatively Pre-Trained Artist| [preprint](https://www.robots.ox.ac.uk/~abrown/E2EVE/resources/E2EVE.pdf)|[Project](https://www.robots.ox.ac.uk/~abrown/E2EVE/)/[Code](https://github.com/Andrew-Brown1/E2EVE)|
|Artemis: Articulated Neural Pets with Appearance and Motion Synthesis| [arXiv preprint](https://arxiv.org/pdf/2202.05628.pdf)|[Project](https://haiminluo.github.io/publication/artemis/)/[Code](https://github.com/HaiminLuo/Artemis)|

## Deep Learning models
| Title  | Publication | Project/Code|
| ------------- | ------------- |-----------------------------------------------------------------------------------------------------------------|
|Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis| [SIGGRAPH '22](https://dl.acm.org/doi/abs/10.1145/3532834.3536210)|[Project](https://sites.google.com/view/deepbillboards/)/[Code](https://github.com/naruya/plenoctree)|
|Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis| [preprint](https://generalizable-neural-performer.github.io/static/gnr.pdf)|[Project](https://generalizable-neural-performer.github.io/)/[Code](https://github.com/generalizable-neural-performer/gnr)|
|Learning Generative Models of Textured 3D Meshes from Real-World Images| [arXiv preprint](https://arxiv.org/pdf/2103.15627.pdf)|[Code](https://github.com/dariopavllo/textured-3d-gan)|
| SEER: Better, fairer computer vision through self-supervised training on uncurated internet images | [arXiv preprint](https://arxiv.org/abs/2202.08360) [2103.01988](https://arxiv.org/abs/2103.01988) | [Project](https://ai.facebook.com/blog/seer-10b-better-fairer-computer-vision-through-self-supervised-learning-training-on-diverse-datasets)/[Code](https://github.com/facebookresearch/vissl/tree/main/projects/SEER/)|
|Style-Based Global Appearance Flow for Virtual Try-On| [arXiv preprint](https://arxiv.org/pdf/2204.01696.pdf6)|[Code](https://github.com/SenHe/Flow-Style-VTON/)|
|Zero-Shot Text-Guided Object Generation with Dream Fields| [arXiv preprint](https://arxiv.org/abs/2112.01455)|[Project](https://ajayj.com/dreamfields)/[Code](https://github.com/google-research/google-research/tree/master/dreamfields)|
|Neural Head Avatars from Monocular RGB Videos| [arXiv preprint](https://arxiv.org/pdf/2112.01554.pdf)|[Project](https://philgras.github.io/neural_head_avatars/neural_head_avatars.html)|
|Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos| [arXiv preprint](https://arxiv.org/pdf/2204.01696.pdf)|[Project](https://stevenlsw.github.io/hoi-forecast/)|
|StyleGAN-Human: A Data-Centric Odyssey of Human Generation| :no_entry_sign: |[Project](github.com)/[Code](https://github.com/stylegan-human/StyleGAN-Human)|
|CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers|[arXiv preprint](https://github.com/THUDM/CogVideo/blob/main/paper/CogVideo-arxiv.pdf) |:no_entry_sign:/[Code](https://github.com/THUDM/CogVideo)|
|BlobGAN: Spatially Disentangled Scene Representations| [arXiv preprint](https://arxiv.org/abs/2205.02837) |[Project](https://dave.ml/blobgan/)/[Code](https://github.com/dave-epstein/blobgan)|
|Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer| [arXiv preprint](https://arxiv.org/pdf/2110.02178.pdf) |[Code](https://github.com/apple/ml-cvnets)|
|M3D-VTON: A Monocular-to-3D Virtual Try-On Network| [arXiv preprint](https://arxiv.org/pdf/2108.05126.pdf) |[Code](https://github.com/fyviezhao/M3D-VTON)|
|Removing Objects From Neural Radiance Fields| [arXiv preprint](https://arxiv.org/pdf/2212.11966.pdf) |[Code](https://nianticlabs.github.io/nerf-object-removal/)|
|X-Avatar: Expressive Human Avatar| [arXiv preprint](http://arxiv.org/pdf/2303.04805.pdf) |[Code](https://github.com/Skype-line/X-Avatar)|

## Datasets
| Title  | Publication | Project/Code|
| ------------- | ------------- |-----------------------------------------------------------------------------------------------------------------| 
| Thingi10K: A Dataset of 10,000 3D-Printing Models |  [arXiv preprint](https://arxiv.org/pdf/1605.04797.pdf) | [Project](https://ten-thousand-models.appspot.com/) |
| InfiniteForm: A synthetic, minimal bias dataset for fitness applications | [arXiv preprint](https://arxiv.org/abs/2110.01330.pdf) | [Project](https://toinfinity.ai/) / [Code](https://github.com/toinfinityai/InfiniteRep)|
| StandardSim: A Synthetic Dataset For Retail Environments | [arXiv preprint](https://arxiv.org/pdf/2202.02418.pdf) | [Project](https://standard-ai.github.io/Standard-Sim/) / [Code](https://github.com/standard-ai/Standard-Sim)|
| MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? | [arXiv preprint](https://arxiv.org/pdf/2108.09518.pdf) | [Project](https://aimagelab.ing.unimore.it/imagelab/page.asp?IdPage=42)|
| GeneBody Dataset | [preprint](https://generalizable-neural-performer.github.io/static/gnr.pdf) | [Project](https://generalizable-neural-performer.github.io/genebody.html)|
| BEHAVE: Dataset and Method for Tracking Human Object Interactions | [CVPR 2022 preprint](http://virtualhumans.mpi-inf.mpg.de/papers/bhatnagar22behave/behave.pdf) | [Project](https://virtualhumans.mpi-inf.mpg.de/behave/)|
| HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling | [arXiv preprint](https://arxiv.org/pdf/2204.13686.pdf) | [Project](https://caizhongang.github.io/projects/HuMMan/)|

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