13 citations · 30 across the 12 of their papers we have counts for
12 papers
Inverse Rendering for Modeling with Line Primitives
Kenji Tojo, Ariel Shamir, Nobuyuki Umetani +1
Faithfully capturing diverse real-world objects with fuzzy, anisotropic structures, such as hair, fur, fibers, and textiles, for efficient real-time visualization remains challengi…
HandMade: Spatial Prompting for Generative 3D Creation with Part-Labeled VR Sketches
Jialin Huang, Rana Hanocka, Ariel Shamir +1
Text-to-3D generation lowers the barrier to 3D content creation, but text alone is a weak interface for specifying spatial intent: where parts should be placed, how they relate, an…
Improving Low-Vision Chart Accessibility via On-Cursor Visual Context
Yotam Sechayk, Hennes Rave, Max Rädler +4
Despite widespread use, charts remain largely inaccessible for Low-Vision Individuals (LVI). Reading charts requires viewing data points within a global context, which is difficult…
Neural Image Abstraction Using Long Smoothing B-Splines
Daniel Berio, Michael Stroh, Sylvain Calinon +3
We integrate smoothing B-splines into a standard differentiable vector graphics (DiffVG) pipeline through linear mapping, and show how this can be used to generate smooth and arbit…
MiGumi: Making Tightly Coupled Integral Joints Millable
Aditya Ganeshan, Kurt Fleischer, Wenzel Jakob +4
Traditional integral wood joints, despite their strength, durability, and elegance, remain rare in modern workflows due to the cost and difficulty of manual fabrication. CNC millin…
LayoutRectifier: An Optimization-based Post-processing for Graphic Design Layout Generation
I-Chao Shen, Ariel Shamir, Takeo Igarashi
Recent deep learning methods can generate diverse graphic design layouts efficiently. However, these methods often create layouts with flaws, such as misalignment, unwanted overlap…
VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos
Yotam Sechayk, Ariel Shamir, Amy Pavel +1
Instructors often rely on visual actions such as pointing, marking, and sketching to convey information in educational presentation videos. These subtle visual cues often lack verb…
LightLab: Controlling Light Sources in Images with Diffusion Models
Nadav Magar, Amir Hertz, Eric Tabellion +4
We present a simple, yet effective diffusion-based method for fine-grained, parametric control over light sources in an image. Existing relighting methods either rely on multiple i…
MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation
Changhao Li, Yu Xin, Xiaowei Zhou +4
We introduce Masked Anchored SpHerical Distances (MASH), a novel multi-view and parametrized representation of 3D shapes. Inspired by multi-view geometry and motivated by the impor…
FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization
Yuki Tatsukawa, I-Chao Shen, Mustafa Doga Dogan +4
Creating new fonts requires a lot of human effort and professional typographic knowledge. Despite the rapid advancements of automatic font generation models, existing methods requi…
AutoSketch: VLM-assisted Style-Aware Vector Sketch Completion
Hsiao-Yuan Chin, I-Chao Shen, Yi-Ting Chiu +2
The ability to automatically complete a partial sketch that depicts a complex scene, e.g., "a woman chatting with a man in the park", is very useful. However, existing sketch gener…
FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications
Yuki Tatsukawa, I-Chao Shen, Anran Qi +3
Acquiring the desired font for various design tasks can be challenging and requires professional typographic knowledge. While previous font retrieval or generation works have allev…