Scratchpad
Digital look-alikes, lighting capture, simulation and relighting
- 'High-fidelity facial reflectance and geometry inference from an unconstrained image' at dl.acm.org[1st seen in 1], a w:deep learning-based technique described in a paper presented at the w:ACM Transactions on Graphics in July 2018
- 'Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination' at dl.acm.org[1st seen in 1] View video of the presentation of the work presented at the w:ACM Transactions on Graphics in July 2019
- 'Deep view synthesis from sparse photometric images' at dl.acm.org[1st seen in 2] View video of the presentation of the work presented at the w:ACM Transactions on Graphics in July 2019
- 'Depth estimation meets inverse rendering for single image novel view synthesis' at dl.acm.org published in CVMP '19: European Conference on Visual Media Production in December 2019
- 'Computational Methods for Capture and Reproduction of Photorealistic Surface Appearance' at aaltodoc.aalto.fi, a 2016 doctoral dissertation by Miika Aittala at the w:Aalto University
- 'Local light field fusion: practical view synthesis with prescriptive sampling guidelines' at dl.acm.org presented at the w:ACM Transactions on Graphics in July 2019
- 'Deep view synthesis from sparse photometric images' at dl.acm.org presented at the w:ACM Transactions on Graphics in July 2019
Digital sound-alikes
- 'Generative Adversarial Networks for Speech Synthesis' at aaltodoc.aalto.fi, a master's thesis by Kasperi Palkama from June 2020 in w:Aalto University[1st seen in 3]
References
1st seen in
- ↑ 1.0 1.1 recommended by w:ACM system at https://dl.acm.org/doi/10.1145/344779.344855
- ↑ Recommended by w:ACM system at https://dl.acm.org/doi/10.1145/3306346.3323027
- ↑ https://www.google.com/alerts for w:Generative adversarial network