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PlaneFormers: From Sparse View Planes to 3D Reconstruction

dc.contributor.authorAgarwala, Samir
dc.contributor.authorJin, Linyi
dc.contributor.authorRockwell, Chris
dc.contributor.authorFouhey, David
dc.contributor.advisorFouhey, David
dc.date.accessioned2023-05-26T17:56:08Z
dc.date.available2023-05-26T17:56:08Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/2027.42/176738
dc.description.abstractIndoor scenes such as rooms, kitchens and other areas of houses are pre-dominantly composed of planar surfaces. These surfaces may thus be used to generate high-quality scene reconstructions. Previous approaches in this domain are generally optimization-based and use an expensive bundle adjustment step. We propose the PlaneFormer, a transformer-based approach, that takes in 3D-aware plane tokens as inputs and can reconstruct scenes using planar surfaces. Our experiments show that our method outperforms baselines on most metrics, can be extended reasonably to multiple views and requires several 3D-specific choices to perform effectively on the task.
dc.subjectComputer Vision
dc.subjectScene Reconstruction
dc.subjectSparse Views
dc.titlePlaneFormers: From Sparse View Planes to 3D Reconstruction
dc.typeProject
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedNA
dc.contributor.affiliationumComputer Science and Engineering
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176738/1/Honors_Thesis_PlaneFormers_-_Samir_Agarwala.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176738/2/Honors_Poster_PlaneFormers_-_Samir_Agarwala.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176738/3/Honors_Video_PlaneFormers_-_Samir_Agarwala.mp4
dc.identifier.doihttps://dx.doi.org/10.7302/7587
dc.working.doi10.7302/7587en
dc.owningcollnameHonors Program, The College of Engineering


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