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Found 6 papers, 1 papers with code
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation
Automatic generation of fonts can be an important aid to typeface design.
Learning Implicit Glyph Shape Representation
In this paper, we present a novel implicit glyph shape representation, which models glyphs as shape primitives enclosed by quadratic curves, and naturally enables generating glyph images at arbitrary high resolutions.
Enhancing Multi-Scale Implicit Learning in Image Super-Resolution with Integrated Positional Encoding
Is the center position fully capable of representing a pixel?
Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts
Existing vector font generation approaches either struggle to preserve high-frequency corner details of the glyph or produce vector shapes that have redundant segments, which hinders their applications in practical scenarios.
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion
However, the generation quality and generalization ability of 3D diffusion models is hindered by the scarcity of high-quality and large-scale 3D datasets.
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Self-supervised monocular depth estimation is of significant importance with applications spanning across autonomous driving and robotics.
