GENERATIVE ADVERSARIAL NETWORKS FOR SINGLE PHOTO 3D RECONSTRUCTION

13 citations as recorded by crossref.

1. Image-based System for 3D Visualization of Flow in Hydrodynamic Tunnel V. Knyaz et al. 10.51130/graphicon-2020-2-3-14
2. Synthesis and Visualization of Photorealistic Textures for 3D Face Reconstruction of Prehistoric Human V. Kniaz et al. 10.51130/graphicon-2020-2-4-15
3. Monitoring Changes in the Condition of the Interior of Cultural Heritige Objects Using Remote-Sensing Data V. Knyaz et al. 10.1134/S2635167624601190
4. Automated Morphometric Analysis of 3D Data in Paleoanthropological Research V. Knyaz & A. Gaboutchian 10.1134/S2635167621050098
5. Deep Learning for Single Photo 3D Reconstruction of Cultural Heritage V. Kniaz et al. 10.3103/S1060992X24700723
6. ARQGAN: An evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples A. Nogales et al. 10.1016/j.eswa.2021.115092
7. Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe S. Münster et al. 10.3390/heritage7020038
8. A Digital 4D Information System on the World Scale: Research Challenges, Approaches, and Preliminary Results S. Münster et al. 10.3390/app14051992
9. Transfer learning-based techniques for efficient 3D-reconstruction of functionally graded materials P. Hamidpour et al. 10.1016/j.matdes.2024.113415
10. A Glossary of Terms in Artificial Intelligence for Healthcare S. Singh Rana et al. 10.1016/j.arthro.2024.08.010
11. Reconstruction of Iberian ceramic potteries using generative adversarial networks P. Navarro et al. 10.1038/s41598-022-14910-7
12. Evaluating Activation Functions in GAN Models for Virtual Inpainting: A Path to Architectural Heritage Restoration A. Maitin et al. 10.3390/app14166854
13. Digital 3D Technologies for Humanities Research and Education: An Overview S. Muenster 10.3390/app12052426