D-NeRF: Neural Radiance Fields for Dynamic Scenes

Albert Pumarola, Enric Corona, Gerard Pons-Moll, Francesc Moreno-Noguer
2021 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Point of View & Time Figure 1: We propose D-NeRF, a method for synthesizing novel views, at an arbitrary point in time, of dynamic scenes with complex non-rigid geometries. We optimize an underlying deformable volumetric function from a sparse set of input monocular views without the need of ground-truth geometry nor multi-view images. The figure shows two scenes under variable points of view and time instances synthesised by the proposed model.
doi:10.1109/cvpr46437.2021.01018 fatcat:qi3v4cwahfbmjdcesbvwiw7miq