期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (2)
In this paper, we leverage advances in neural networks towards forming a neural rendering for controllable image generation, and thereby bypassing the......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (3)
The model-based investing using financial factors is evolving as a principal method for quantitative investment. The main challenge lies in the select......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (2)
In this paper, we propose a novel Sequence-to-Sequence model based on metric-based meta learning for the arbitrary style transfer of online Chinese ha......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (4)
Real-time Monte Carlo denoising aims at removing severe noise under low samples per pixel (spp) in a strict time budget. Recently, kernel-prediction m......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (2)
Creating fine garment details requires significant efforts and huge computational resources. In contrast, a coarse shape may be easy to acquire in man......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (5)
We propose a novel method to generate fabrication blueprints from images of carpentered items. While 3D reconstruction from images is a well-studied p......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (2)
Real-time ray tracing (RTRT) is being pervasively applied. The key to RTRT is a reliable denoising scheme that reconstructs clean images from signific......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (5)
Realistic 3D indoor scene datasets have enabled significant recent progress in computer vision, scene understanding, autonomous navigation, and 3D rec......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (4)
We propose a deep-learning method for automatically decomposing noisy Monte Carlo renderings into components that kernelpredicting denoisers can denoi......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (4)
Despite recent breakthroughs in deep learning methods for image lighting enhancement, they are inferior when applied to portraits because 3D facial in......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (3)
Data videos, a storytelling genre that visualizes data facts with motion graphics, are gaining increasing popularity among data journalists, non-profi......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (2)
We introduce rank-1 lattices as a quasi-random sequence to the numerical estimation of the high-dimensional path integral. Previous attempts at utiliz......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (3)
Multi-dimensional data exploration is a classic research topic in visualization. Most existing approaches are designed for identifying record patterns......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (2)
Equipping characters with diverse motor skills is the current bottleneck of physics-based character animation. We propose a Deep Reinforcement Learnin......
期刊： COMPUTER GRAPHICS FORUM, 2021; 40 (5)
This paper proposes a passive multi-view system for human body shape reconstruction, namely RHF-Human, to overcome several challenges including accura......
