Results 11 to 20 of about 3,003,301 (369)
Real-Time Rendering of Point Clouds With Photorealistic Effects: A Survey
IEEE Access, 2022 Readily available RGB-D cameras in smart phones and improving 3D scanning technologies have made it possible to produce detailed point cloud and point-based models of real world objects even in real time.
Petrus E. J. Kivi +5 more
doaj +2 more sources
3D Gaussian Splatting for Real-Time Radiance Field Rendering [PDF]
ACM Transactions on Graphics, 2023 Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster ...
Bernhard Kerbl +3 more
semanticscholar +1 more source
PlenOctrees for Real-time Rendering of Neural Radiance Fields [PDF]
IEEE International Conference on Computer Vision, 2021 We introduce a method to render Neural Radiance Fields (NeRFs) in real time using PlenOctrees, an octree-based 3D representation which supports view-dependent effects.
Alex Yu +5 more
semanticscholar +1 more source
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes [PDF]
Computer Vision and Pattern Recognition, 2021 Neural signed distance functions (SDFs) are emerging as an effective representation for 3D shapes. State-of-the-art methods typically encode the SDF with a large, fixed-size neural network to approximate complex shapes with implicit surfaces.
Towaki Takikawa +8 more
semanticscholar +1 more source
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields [PDF]
European Conference on Computer Vision, 2022 Novel view synthesis has recently been revolutionized by learning neural radiance fields directly from sparse observations. However, rendering images with this new paradigm is slow due to the fact that an accurate quadrature of the volume rendering ...
Andreas Kurz +4 more
openalex +3 more sources
Human Gaussian Splatting: Real-Time Rendering of Animatable Avatars [PDF]
Computer Vision and Pattern Recognition, 2023 This work addresses the problem of real-time rendering of photorealistic human body avatars learned from multi-view videos. While the classical approaches to model and render virtual humans generally use a textured mesh, recent research has developed ...
Arthur Moreau +5 more
semanticscholar +1 more source
DONeRF: Towards Real‐Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks [PDF]
Computer graphics forum (Print), 2021 The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high‐quality scene and lighting information in compact neural networks.
Thomas Neff +7 more
semanticscholar +1 more source
Re-ReND: Real-time Rendering of NeRFs across Devices [PDF]
IEEE International Conference on Computer Vision, 2023 This paper proposes a novel approach for rendering a pre-trained Neural Radiance Field (NeRF) in real-time on resource-constrained devices. We introduce Re-ReND, a method enabling Real-time Rendering of NeRFs across Devices.
Sara Rojas +6 more
semanticscholar +1 more source
FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion [PDF]
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, 2023 The workload of real-time rendering is steeply increasing as the demand for high resolution, high refresh rates, and high realism rises, overwhelming most graphics cards.
Zhihua Zhong +7 more
semanticscholar +1 more source
UV Volumes for Real-time Rendering of Editable Free-view Human Performance [PDF]
Computer Vision and Pattern Recognition, 2022 Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications. But the practice is severely limited by high computational costs in the rendering process.
Yue Chen +7 more
semanticscholar +1 more source