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description=Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.;
keywords=Nerfies, D-NeRF, NeRF;

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nerfies deformable neural radiance fields more research hypernerf nerfies latentfusion photoshape nerfies deformable neural radiance fields keunhong park 1 utkarsh sinha 2 jonathan t barron 2 sofien bouaziz 2 dan b goldman 2 steven m seitz 1 2 ricardo martin brualla 2 1 university of washington 2 google research paper arxiv video code data nerfies turns selfie videos from your phone into free viewpoint portraits abstract we present the first method capable of photorealistically reconstructing a non rigidly deforming scene using photos videos captured casually from mobile phones our approach augments neural radiance fields nerf by optimizing an additional continuous volumetric deformation field that warps each observed point into a canonical 5d nerf we observe that these nerf like deformation fields are prone to local minima and propose a coarse to fine optimization method for coordinate based models that allows for more robust optimization by adapting principles from geometry processing and physical simulation to nerf like models we propose an elastic regularization of the deformation field that further improves robustness we show that nerfies can turn casually captured selfie photos videos into deformable nerf models that allow for photorealistic renderings of the subject from arbitrary viewpoints which we dub nerfies we evaluate our method by collecting data using a rig with two mobile phones that take time synchronized photos yielding train validation images of the same pose at different viewpoints we show that our method faithfully reconstructs non rigidly deforming scenes and reproduces unseen views with high fidelity video visual effects using nerfies you can create fun visual effects this dolly zoom effect would be impossible without nerfies since it would require going through a wall matting as a byproduct of our method we can also solve the matting problem by ignoring samples that fall outside of a bounding box during rendering animation interpolating states we can also animate the scene by interpolating the deformation latent codes of two input frames use the slider here to linearly interpolate between the left frame and the right frame start frame loading end frame re rendering the input video using nerfies you can re render a video from a novel viewpoint such as a stabilized camera by playing back the training deformations related links there s a lot of excellent work that was introduced around the same time as ours progressive encoding for neural optimization introduces an idea similar to our windowed position encoding for coarse to fine optimization d nerf and nr nerf both use deformation fields to model non rigid scenes some works model videos with a nerf by directly modulating the density such as video nerf nsff and dynerf there are probably many more by the time you are reading this check out frank dellart s survey on recent nerf papers and yen chen lin s curated list of nerf papers bibtex article park2021nerfies author park keunhong and sinha utkarsh and barron jonathan t and bouaziz sofien and goldman dan b and seitz steven m and martin brualla ricardo title nerfies deformable neural radiance fields journal iccv year 2021 this website is licensed under a creative commons attribution sharealike 4 0 international license this means you are free to borrow the source code of this website we just ask that you link back to this page in the footer please remember to remove the analytics code included in the header of the website which you do not want on your website