Vectormapnet: End-to-end vectorized hd map learning
Autonomous driving systems require High-Definition (HD) semantic maps to navigate
around urban roads. Existing solutions approach the semantic mapping problem by offline …
around urban roads. Existing solutions approach the semantic mapping problem by offline …
An overview of visualization and visual analytics applications in water resources management
Recent advances in information, communication, and environmental monitoring
technologies have increased the availability, spatiotemporal resolution, and quality of water …
technologies have increased the availability, spatiotemporal resolution, and quality of water …
Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
CLIPDraw is an algorithm that synthesizes novel drawings from natural language input. It
does not require any additional training; rather, a pre-trained CLIP language-image encoder …
does not require any additional training; rather, a pre-trained CLIP language-image encoder …
Diffsketcher: Text guided vector sketch synthesis through latent diffusion models
Even though trained mainly on images, we discover that pretrained diffusion models show
impressive power in guiding sketch synthesis. In this paper, we present DiffSketcher, an …
impressive power in guiding sketch synthesis. In this paper, we present DiffSketcher, an …
SVGDreamer: Text guided SVG generation with diffusion model
Recently text-guided scalable vector graphics (SVGs) synthesis has shown promise in
domains such as iconography and sketch. However existing text-to-SVG generation …
domains such as iconography and sketch. However existing text-to-SVG generation …
Towards layer-wise image vectorization
Image rasterization is a mature technique in computer graphics, while image vectorization,
the reverse path of rasterization, remains a major challenge. Recent ad-vanced deep …
the reverse path of rasterization, remains a major challenge. Recent ad-vanced deep …
A survey of smooth vector graphics: Recent advances in representation, creation, rasterization and image vectorization
X Tian, T Günther - IEEE Transactions on Visualization and …, 2022 - ieeexplore.ieee.org
The field of smooth vector graphics explores the representation, creation, rasterization, and
automatic generation of light-weight image representations, frequently used for scalable …
automatic generation of light-weight image representations, frequently used for scalable …
Computer-aided design as language
Abstract Computer-Aided Design (CAD) applications are used in manufacturing to model
everything from coffee mugs to sports cars. These programs are complex and require years …
everything from coffee mugs to sports cars. These programs are complex and require years …
Text-to-vector generation with neural path representation
Vector graphics are widely used in digital art and highly favored by designers due to their
scalability and layer-wise properties. However, the process of creating and editing vector …
scalability and layer-wise properties. However, the process of creating and editing vector …
Deepvecfont: synthesizing high-quality vector fonts via dual-modality learning
Automatic font generation based on deep learning has aroused a lot of interest in the last
decade. However, only a few recently-reported approaches are capable of directly …
decade. However, only a few recently-reported approaches are capable of directly …