Turnitin
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Nerfusion: Fusing radiance fields for large-scale scene reconstruction
While NeRF has shown great success for neural reconstruction and rendering, its limited
MLP capacity and long per-scene optimization times make it challenging to model large …
MLP capacity and long per-scene optimization times make it challenging to model large …
Neural point-based graphics
We present a new point-based approach for modeling the appearance of real scenes. The
approach uses a raw point cloud as the geometric representation of a scene, and augments …
approach uses a raw point cloud as the geometric representation of a scene, and augments …
Neutex: Neural texture map** for volumetric neural rendering
Recent work has demonstrated that volumetric scene representations combined with
differentiable volume rendering can enable photo-realistic rendering for challenging scenes …
differentiable volume rendering can enable photo-realistic rendering for challenging scenes …
Stylemesh: Style transfer for indoor 3d scene reconstructions
We apply style transfer on mesh reconstructions of indoor scenes. This enables VR
applications like experiencing 3D environments painted in the style of a favorite artist. Style …
applications like experiencing 3D environments painted in the style of a favorite artist. Style …
Deep reflectance volumes: Relightable reconstructions from multi-view photometric images
We present a deep learning approach to reconstruct scene appearance from unstructured
images captured under collocated point lighting. At the heart of Deep Reflectance Volumes …
images captured under collocated point lighting. At the heart of Deep Reflectance Volumes …
360-degree textures of people in clothing from a single image
In this paper we predict a full 3D avatar of a person from a single image. We infer texture and
geometry in the UV-space of the SMPL model using an image-to-image translation method …
geometry in the UV-space of the SMPL model using an image-to-image translation method …
Deep view synthesis from sparse photometric images
The goal of light transport acquisition is to take images from a sparse set of lighting and
viewing directions, and combine them to enable arbitrary relighting with changing view …
viewing directions, and combine them to enable arbitrary relighting with changing view …
Ref-npr: Reference-based non-photorealistic radiance fields for controllable scene stylization
Current 3D scene stylization methods transfer textures and colors as styles using arbitrary
style references, lacking meaningful semantic correspondences. We introduce Reference …
style references, lacking meaningful semantic correspondences. We introduce Reference …