Complex-Motion NeRF: Joint Reconstruction and Pose Optimization With Motion and Depth Priors
IEEE Access, 2023 We present Complex-Motion Neural Radiance Fields (CM-NeRF), which is a method that leverages motion and depth priors to optimize neural 3D scene representations and complex 6-DoF camera motions jointly.
Hyunjin Kim +3 more
doaj +1 more source
FluoNeRF: Fluorescent Novel-View Synthesis Under Novel Light Source Colors and Spectra. [PDF]
J ImagingSynthesizing photo-realistic images of a scene from arbitrary viewpoints and under arbitrary lighting environments is one of the important research topics in computer vision and graphics.
Shi L +4 more
europepmc +2 more sources
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video [PDF]
IEEE International Conference on Computer Vision, 2020 We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes RGB images of a dynamic scene as input (e.g., from a monocular video recording), and ...
E. Tretschk +5 more
semanticscholar +1 more source
Novel View Synthesis in Time and Space [PDF]
, 2020 Novel view synthesis is a classic problem in computer vision. It refers to the generation of previously unseen views of a scene from a set of sparse input images taken from different viewpoints. One example of novel view synthesis is the interpolation of
Niklaus, Simon
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Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations [PDF]
Computer Vision and Pattern Recognition, 2021 A classical problem in computer vision is to infer a 3D scene representation from few images that can be used to render novel views at interactive rates. Previous work focuses on reconstructing pre-defined 3D representations, e.g.
Mehdi S. M. Sajjadi +12 more
semanticscholar +1 more source
STATE: Learning structure and texture representations for novel view synthesis
Computational Visual Media, 2023 Novel viewpoint image synthesis is very challenging, especially from sparse views, due to large changes in viewpoint and occlusion. Existing image-based methods fail to generate reasonable results for invisible regions, while geometry-based methods have ...
Xinyi Jing +5 more
doaj +1 more source
Novel View Synthesis - a Neural Network Approach [PDF]
, 2020 Novel view synthesis is an important research problem in computer vision and computational photography. It enables a wide range of applications including re-cinematography, video enhancement, virtual reality, etc. These algorithms leverage a pre-acquired
Le, Hoang
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Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models [PDF]
IEEE International Conference on Computer Vision, 2023 Novel view synthesis from a single input image is a challenging task, where the goal is to generate a new view of a scene from a desired camera pose that may be separated by a large motion.
Jason J. Yu +3 more
semanticscholar +1 more source
View transformation and novel view synthesis based on deep learning [PDF]
, 2023 Novel View Synthesis (NVS) allows the generation of target images with different views from a single input image or multiple images while view transformation is a key intermediate step for the task.
Lei Jiang (5752376)
core +1 more source
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
2022 International Joint Conference on Neural Networks (IJCNN), 2022 Multi-View Stereo (MVS) is a core task in 3D computer vision. With the surge of novel deep learning methods, learned MVS has surpassed the accuracy of classical approaches, but still relies on building a memory intensive dense cost volume. Novel View Synthesis (NVS) is a parallel line of research and has recently seen an increase in popularity with ...
Radu Alexandru Rosu, Sven Behnke
openaire +2 more sources