Depth-Aware Style Transfer.pdf
final.pdf
Description
Neural style transfer has received significant attention, but existing methods often produce unsatisfactory results when input images contain multiple objects...
Technical Information
- File Format: PDF
- File Size: 22.14 MB
- Pages: 10
- Language: EN
- Author: Xiao-Chang Liu, Ming-Ming Cheng, Yu-Kun Lai, and Paul L. Rosin
- Total Downloads: 175
- Last Updated: 1 month ago
Document Overview
This PDF document about Depth-Aware Style Transfer provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Depth-Aware Style Transfer.
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