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Neural apparent BRDF fields for multiview photometric stereo
We propose to tackle the multiview photometric stereo problem using an extension of Neural Radiance Fields (NeRFs), conditioned on light source direction. The geometric part of our neural representation predicts surface normal direction, allowing us to ...
A wide-baseline multiview system for indoor scene capture
We present a complete multiview acquisition system, a camera array allowing depth reconstruction based on disparity. We built a new wide-baseline camera grid supported by an interactive camera controller purposely built for indoor large scene capture. ...
Light Field GAN-based View Synthesis using full 4D information
Light Field (LF) technology offers a truly immersive experience having the potential to revolutionize entertainment, training, education, virtual and augmented reality, gaming, autonomous driving, and digital health. However, one of the main issues when ...
Semantic Segmentation for Multi-Contour Estimation in Maritime Scenes
In the maritime environment, navigation and localisation are primarily driven by systems such as GPS. However, in a scenario where GPS is not available, e.g., it is jammed or the satellite connection was lost, navigators can use visual methods derived ...
Tragic Talkers: A Shakespearean Sound- and Light-Field Dataset for Audio-Visual Machine Learning Research
3D audio-visual production aims to deliver immersive and interactive experiences to the consumer. Yet, faithfully reproducing real-world 3D scenes remains a challenging task. This is partly due to the lack of available datasets enabling audio-visual ...
The Colour of Horror
In this paper, we present a simple method to produce a colour palette for film trailers. Our method uses k-means clustering with a saturation-based weighting to extract the dominant colours from the frames of the trailer. We use our method to generate ...
Model-Based Deep Portrait Relighting
Like most computer vision problems the relighting of portrait face images is more and more being entirely formulated as a deep learning problem. However, data-driven approaches need a detailed and exhaustive database to work on and the creation of ...
Assessing Advances in Real Noise Image Denoisers
Recently image denoiser networks have made a number of advances to go beyond additive Gaussian white noise and deal with real noise, such as produced by digital cameras. We note that some of the performance gains reported in the state of the art could ...
U-Attention to Textures: Hierarchical Hourglass Vision Transformer for Universal Texture Synthesis
We present a novel U-Attention vision Transformer for universal texture synthesis. We exploit the natural long-range dependencies enabled by the attention mechanism to allow our approach to synthesize diverse textures while preserving their structures ...
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each representing a different style. Despite this, existing learning-based methods ...
Index Terms
- Proceedings of the 19th ACM SIGGRAPH European Conference on Visual Media Production