Results 41 to 50 of about 882,347 (341)
CombiNeRF: a Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis [PDF]
, 2023 openNeural Radiance Fields (NeRFs) hanno mostrato risultati impressionanti per la sintesi di immagini inedite quando è inizialmente disponibile un numero sufficientemente elevato di immagini.
SARROCCO, LUIGI
core
Neural Point Catacaustics for Novel-View Synthesis of Reflections [PDF]
ACM Transactions on Graphics, 2022 View-dependent effects such as reflections pose a substantial challenge for image-based and neural rendering algorithms. Above all, curved reflectors are particularly hard, as they lead to highly non-linear reflection flows as the camera moves.
Georgios Kopanas +4 more
semanticscholar +1 more source
Geometry-biased Transformers for Novel View Synthesis
CoRR, 2023 We tackle the task of synthesizing novel views of an object given a few input images and associated camera viewpoints. Our work is inspired by recent 'geometry-free' approaches where multi-view images are encoded as a (global) set-latent representation, which is then used to predict the color for arbitrary query rays.
Naveen Venkat +3 more
openaire +2 more sources
Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera [PDF]
Computer Vision and Pattern Recognition, 2020 This paper presents a new method to synthesize an image from arbitrary views and times given a collection of images of a dynamic scene. A key challenge for the novel view synthesis arises from dynamic scene reconstruction where epipolar geometry does not
Jae Shin Yoon +4 more
semanticscholar +1 more source
MultiDiff: Consistent Novel View Synthesis from a Single Image [PDF]
Computer Vision and Pattern RecognitionWe introduce MultiDiff, a novel approach for consistent novel view synthesis of scenes from a single RGB image. The task of synthesizing novel views from a single reference image is highly ill-posed by nature, as there exist multiple, plausible ...
Norman Müller +6 more
semanticscholar +1 more source
Neural Radiance Fields for High-Resolution Remote Sensing Novel View Synthesis
Remote Sensing, 2023 Remote sensing images play a crucial role in remote sensing target detection and 3D remote sensing modeling, and the enhancement of resolution holds significant application implications.
Junwei Lv +4 more
doaj +1 more source
A novel interpolation method for 3D view synthesis [PDF]
2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2012 In this paper a novel intermediate view synthesis algorithm for 3D video rendering is presented. The proposal is based on the representation of the pixels to be warped as intervals of finite length. The warping, hole-filling and merging stages of the view synthesis procedure can be recast according to this notation with significant advantages from the ...
Vincenzo Paradiso +2 more
openaire +1 more source
In-Band Disparity Compensation for Multiview Image Compression and View Synthesis [PDF]
, 2010 This paper presents a novel framework to achieve scalable multiview image compression and view synthesis. The open-loop wavelet-lifting scheme for geometric filtering has been exploited to achieve signal-to-noise ratio scalability and view-type ...
Anantrasirichai, N +3 more
core +1 more source
Deep Learning based Novel View Synthesis
CoRR, 2021 Predicting novel views of a scene from real-world images has always been a challenging task. In this work, we propose a deep convolutional neural network (CNN) which learns to predict novel views of a scene from given collection of images. In comparison to prior deep learning based approaches, which can handle only a fixed number of input images to ...
Amit More, Subhasis Chaudhuri
openaire +2 more sources
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis [PDF]
, 2021 Building upon the recent progress in novel view synthesis, we propose its application to improve monocular depth estimation. In particular, we propose a novel training method split in three main steps.
Orts-Escolano, S. +5 more
core +1 more source