[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …
potential to provide the user with a more accurate scene understanding. This will enable …
Review of image-based rendering techniques
H Shum, SB Kang - Visual Communications and Image …, 2000 - spiedigitallibrary.org
In this paper, we survey the techniques for image-based rendering. Unlike traditional 3D
computer graphics in which 3D geometry of the scene is known, image-based rendering …
computer graphics in which 3D geometry of the scene is known, image-based rendering …
Merf: Memory-efficient radiance fields for real-time view synthesis in unbounded scenes
Neural radiance fields enable state-of-the-art photorealistic view synthesis. However,
existing radiance field representations are either too compute-intensive for real-time …
existing radiance field representations are either too compute-intensive for real-time …
Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures
Abstract Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synthesize
images of 3D scenes from novel views. However, they rely upon specialized volumetric …
images of 3D scenes from novel views. However, they rely upon specialized volumetric …
Ibrnet: Learning multi-view image-based rendering
We present a method that synthesizes novel views of complex scenes by interpolating a
sparse set of nearby views. The core of our method is a network architecture that includes a …
sparse set of nearby views. The core of our method is a network architecture that includes a …
Geonerf: Generalizing nerf with geometry priors
MM Johari, Y Lepoittevin… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
We present GeoNeRF, a generalizable photorealistic novel view synthesis method based on
neural radiance fields. Our approach consists of two main stages: a geometry reasoner and …
neural radiance fields. Our approach consists of two main stages: a geometry reasoner and …
Synsin: End-to-end view synthesis from a single image
View synthesis allows for the generation of new views of a scene given one or more images.
This is challenging; it requires comprehensively understanding the 3D scene from images …
This is challenging; it requires comprehensively understanding the 3D scene from images …
Immersive light field video with a layered mesh representation
We present a system for capturing, reconstructing, compressing, and rendering high quality
immersive light field video. We accomplish this by leveraging the recently introduced …
immersive light field video. We accomplish this by leveraging the recently introduced …
Point-nerf: Point-based neural radiance fields
Volumetric neural rendering methods like NeRF generate high-quality view synthesis results
but are optimized per-scene leading to prohibitive reconstruction time. On the other hand …
but are optimized per-scene leading to prohibitive reconstruction time. On the other hand …
Binary opacity grids: Capturing fine geometric detail for mesh-based view synthesis
While surface-based view synthesis algorithms are appealing due to their low computational
requirements, they often struggle to reproduce thin structures. In contrast, more expensive …
requirements, they often struggle to reproduce thin structures. In contrast, more expensive …