FluoNeRF: Fluorescent Novel-View Synthesis Under Novel Light Source Colors and Spectra [PDF]
Journal of 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.
Lin Shi +4 more
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Large-Scale Indoor Visual–Geometric Multimodal Dataset and Benchmark for Novel View Synthesis [PDF]
SensorsThe accurate reconstruction of indoor environments is crucial for applications in augmented reality, virtual reality, and robotics. However, existing indoor datasets are often limited in scale, lack ground truth point clouds, and provide insufficient ...
Junming Cao +2 more
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Review: Techniques in Egocentric Multi-View Image Analysis: Advances, Challenges, and Future Directions [PDF]
Journal of ImagingEgocentric multi-view image analysis refers to the processing of utilizing synchronized video streams captured from multiple wearable cameras worn on the head or body, providing complementary first-person perspectives of dynamic, real-world interactions.
Duc Tri Phan, Hong Duc Nguyen
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Light Field Diffusion for Single-View Novel View Synthesis
IEEE AccessSingle-view novel view synthesis, the task of generating images from new viewpoints based on a single reference image, is important but challenging in computer vision.
Yifeng Xiong +5 more
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Empirical analysis of adversarial robustness in 3D Gaussian Splatting under multi-view inconsistency attacks [PDF]
Scientific Reports3D Gaussian Splatting has emerged as a promising technique for real-time novel view synthesis, achieving rendering quality comparable to neural radiance fields while enabling significantly faster inference.
Hyun Kwon, Jang-Woon Baek
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Results in Engineering, 2022 The process of synthesizing an image with objects in new pose angles other than input pose is known as Novel View Synthesis. Humans can visualize the objects in new poses by imagination.
Anupama V, A. Geetha Kiran
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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
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Two-View Mammogram Synthesis from Single-View Data Using Generative Adversarial Networks
Applied Sciences, 2022 While two-view mammography taking both mediolateral-oblique (MLO) and cranio-caudual (CC) views is the current standard method of examination in breast cancer screening, single-view mammography is still being performed in some countries on women of ...
Asumi Yamazaki, Takayuki Ishida
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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
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MMNeRF: Multi-Modal and Multi-View Optimized Cross-Scene Neural Radiance Fields
IEEE Access, 2023 We present MMNeRF, a simple yet powerful learning framework for highly photo-realistic novel view synthesis by learning Multi-modal and Multi-view features to guide neural radiance fields to a generic model.
Qi Zhang +3 more
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