20 citations · 43 across the 9 of their papers we have counts for
9 papers
AmodalSVG: Amodal Image Vectorization via Semantic Layer Peeling
Juncheng Hu, Ziteng Xue, Guotao Liang +5
We introduce AmodalSVG, a new framework for amodal image vectorization that produces semantically organized and geometrically complete SVG representations from natural images. Exis…
A Study of the Design Space of Motion and Disocclusion Control in Video Generation
Anran Qi, Changjian Li, Adrien Bousseau +1
Disocclusion occurs when object movement reveals previously hidden content. Existing image-to-video methods provide different forms of motion and disocclusion control, yet the desi…
GarmentImage: Raster Encoding of Garment Sewing Patterns with Diverse Topologies
Yuki Tatsukawa, Anran Qi, I-Chao Shen +1
Garment sewing patterns are the design language behind clothing, yet their current vector-based digital representations weren't built with machine learning in mind. Vector-based re…
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…
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…
PerfectTailor: Scale-Preserving 2D Pattern Adjustment Driven by 3D Garment Editing
Anran Qi, Takeo Igarashi
We address the problem of modifying a given well-designed 2D sewing pattern to accommodate garment edits in the 3D space. Existing methods usually adjust the sewing pattern by appl…
PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds
Sauradip Nag, Anran Qi, Xiatian Zhu +1
Garment pattern design aims to convert a 3D garment to the corresponding 2D panels and their sewing structure. Existing methods rely either on template fitting with heuristics and…
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
Sauradip Nag, Nisarg Shah, Anran Qi +1
In this paper we present a novel self-supervised method to anticipate the depth estimate for a future, unobserved real-world urban scene. This work is the first to explore self-sup…
One Sketch for All: One-Shot Personalized Sketch Segmentation
Anran Qi, Yulia Gryaditskaya, Tao Xiang +1
We present the first one-shot personalized sketch segmentation method. We aim to segment all sketches belonging to the same category provisioned with a single sketch with a given p…