The study focuses on the development of HDR-HexPlane, a dynamic High Dynamic Range (HDR) Neural Radiance Fields (NeRF) framework. Unlike traditional NeRF methods that use low dynamic range images, HDR-HexPlane…
Continue readingThe research addresses the issue of active view selection and uncertainty quantification in Radiance Fields. The researchers propose a method that utilizes Fisher Information to efficiently quantify observed information within…
Continue readingThis study introduces Neural Refractive-Reflective Fields (NeRRF) which improve the shortcomings of Neural Radiance Fields (NeRF) in dealing with transparent or specular objects. The method uses refractive-reflective field to model…
Continue readingThe paper introduces ORTexME, an occlusion-robust method for 3D human shape and pose estimation from a monocular video. Existing models struggle with videos featuring occlusion, a common occurrence in wild…
Continue readingThe authors of this paper have developed a model named UrbanIR (Urban Scene Inverse Rendering) with the aim of creating realistic, free-viewpoint renderings of a scene under novel lighting conditions…
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