Results 21 to 30 of about 23,570,223 (294)

Novel-View Human Action Synthesis [PDF]

, 2021
Asian Conference on Computer Vision (ACCV ...
Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro   +4 more
openaire   +3 more sources

Novel View Specification and Synthesis [PDF]

Procedings of the British Machine Vision Conference 2002, 2002
Given a set of real images, Novel View Synthesis (NVS) aims to produce views of a scene that would correspond to that of a virtual camera. There exist many approaches to solving this problem. We consider physically valid NVS methods, in particular those based on epipolar and trifocal transfer.
Keith Richard Connor, Ian Reid 0001
openaire   +1 more source

Re-Nerfing: Improving Novel View Synthesis through Novel View Synthesis

, 2023
Code will be released upon ...
Tristram, Felix, Gasperini, Stefano, Navab, Nassir, Tombari, Federico   +3 more
openaire   +2 more sources

View-LSTM: Novel-View Video Synthesis Through View Decomposition [PDF]

, 2019
We tackle the problem of synthesizing a video of multiple moving people as seen from a novel view, given only an input video and depth information or human poses of the novel view as prior.
Andrea Cavallaro, Oswald Lanz, Mohamed Lakhal   +2 more
core   +2 more sources

Neural LiDAR Fields for Novel View Synthesis

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
ICCV 2023 - camera ready. Project page: https://research.nvidia.com/labs/toronto-ai/nfl/
Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany   +7 more
openaire   +4 more sources

Novel view synthesis based on depth map layers representation

, 2011
This session discussed novel view synthesis based on depth map layers representation.
Soraghan, John, Abd Manap, Nurulfajar
core   +4 more sources

CompNVS: Novel View Synthesis with Scene Completion

, 2022
We introduce a scalable framework for novel view synthesis from RGB-D images with largely incomplete scene coverage. While generative neural approaches have demonstrated spectacular results on 2D images, they have not yet achieved similar photorealistic results in combination with scene completion where a spatial 3D scene understanding is essential. To
Zuoyue Li, Tianxing Fan, Zhenqiang Li 0002, Zhaopeng Cui, Yoichi Sato 0001, Marc Pollefeys, Martin R. Oswald   +6 more
openaire   +4 more sources

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, Mayank Agarwal, Maneesh Kumar Singh 0001, Shubham Tulsiani   +3 more
openaire   +2 more sources

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis [PDF]

, 2023
Neural Radiance Field (NeRF) has been a mainstream in novel view synthesis with its remarkable quality of rendered images and simple architecture.
Kwak, Nojun, Seo, Seunghyeon, Chang, Yeonjin   +2 more
core   +3 more sources

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