Indoor scene generation method using radiance fields and super-resolution
Indoor scene generation in the digital realm has garnered significant attention within the computer vision domain, offering diverse applications ranging from architectural visualization to virtual reality experiences and gaming environments. Traditional methods relying on manual 3D modeling are time...
Saved in:
Main Author: | Yang, Yida |
---|---|
Other Authors: | Liu Ziwei |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175309 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
ID preserving face super-resolution generative adversarial networks
by: Li, J., et al.
Published: (2021) -
High-quality face image generated with conditional boundary equilibrium generative adversarial networks
by: Huang, Bin, et al.
Published: (2020) -
Be a cartoonist : editing anime images using generative adversarial network
by: Koh, Tong Liang
Published: (2022) -
extendGAN+: transferable data augmentation framework using WGAN-GP for data-driven indoor localisation model
by: Yean, Seanglidet, et al.
Published: (2023) -
Deep learning for image super-resolution: A survey
by: WANG, Zhihao, et al.
Published: (2021)