Results 11 to 20 of about 4,020,070 (373)
Differentiable Direct Volume Rendering [PDF]
We present a differentiable volume rendering solution that provides differentiability of all continuous parameters of the volume rendering process. This differentiable renderer is used to steer the parameters towards a setting with an optimal solution of a problem-specific objective function.
Weiss, Sebastian, Westermann, Rüdiger
openaire +5 more sources
This paper shows topical research on volume rendering and volume rendering techniques. Different areas of applications are presented and related problems are discussed.
Taku Komura
openaire +2 more sources
Volume Rendering Digest (for NeRF) [PDF]
Neural Radiance Fields employ simple volume rendering as a way to overcome the challenges of differentiating through ray-triangle intersections by leveraging a probabilistic notion of visibility.
Andrea Tagliasacchi, Ben Mildenhall
openalex +3 more sources
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering [PDF]
We present an information-theoretic regularization technique for few-shot novel view synthesis based on neural im-plicit representation. The proposed approach minimizes potential reconstruction inconsistency that happens due to in-sufficient viewpoints ...
Mijeong Kim, Seonguk Seo, Bohyung Han
semanticscholar +1 more source
NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering [PDF]
Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering. However, existing methods based on signed distance function (SDF) are limited to closed surfaces, failing to ...
Yu-Tao Liu +6 more
semanticscholar +1 more source
ARAH: Animatable Volume Rendering of Articulated Human SDFs [PDF]
Combining human body models with differentiable rendering has recently enabled animatable avatars of clothed humans from sparse sets of multi-view RGB videos.
Shaofei Wang +3 more
semanticscholar +1 more source
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering [PDF]
DIVeR builds on the key ideas of NeRF and its variants-density models and volume rendering – to learn 3D object models that can be rendered realistically from small numbers of images.
Liwen Wu +4 more
semanticscholar +1 more source
FNeVR: Neural Volume Rendering for Face Animation [PDF]
Face animation, one of the hottest topics in computer vision, has achieved a promising performance with the help of generative models. However, it remains a critical challenge to generate identity preserving and photo-realistic images due to the ...
Bo-Wen Zeng +7 more
semanticscholar +1 more source
FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks [PDF]
Volume data is found in many important scientific and engineering applications. Rendering this data for visualization at high quality and interactive rates for demanding applications such as virtual reality is still not easily achievable even using ...
David Bauer, Qi Wu, Kwan-Liu Ma
semanticscholar +1 more source

