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Generative Artificial Intelligence (AI) has advanced rapidly, enabling the generation of renderings from architectural sketches. This progress has significantly improved the efficiency of communication and conceptual expression during the…

Graphics · Computer Science 2025-03-06 Zhengyang Wang , Hao Jin , Xusheng Du , Yuxiao Ren , Ye Zhang , Haoran Xie

Video diffusion models have recently shown promise for world modeling through autoregressive frame prediction conditioned on actions. However, they struggle to maintain long-term memory due to the high computational cost associated with…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Ryan Po , Yotam Nitzan , Richard Zhang , Berlin Chen , Tri Dao , Eli Shechtman , Gordon Wetzstein , Xun Huang

Linear sketches are fundamental tools in data stream analytics. They are notable for supporting both approximate frequency queries and heavy hitter detection with bounded trade-offs for error and memory. Importantly, on streams that contain…

Cryptography and Security · Computer Science 2025-12-10 Rayne Holland

We introduce Delayed Streams Modeling (DSM), a flexible formulation for streaming, multimodal sequence-to-sequence learning. Sequence-to-sequence generation is often cast in an offline manner, where the model consumes the complete input…

Fashion design is a complex creative process that blends visual and textual expressions. Designers convey ideas through sketches, which define spatial structure and design elements, and textual descriptions, capturing material, texture, and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Federico Girella , Davide Talon , Ziyue Liu , Zanxi Ruan , Yiming Wang , Marco Cristani

Visual illusions traditionally rely on spatial manipulations such as multi-view consistency. In this work, we introduce Progressive Semantic Illusions, a novel vector sketching task where a single sketch undergoes a dramatic semantic…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Huai-Hsun Cheng , Siang-Ling Zhang , Yu-Lun Liu

In many domains generating variable length sequences through insertions provides greater flexibility over autoregressive models. However, the action space of insertion models is much larger than that of autoregressive models (ARMs) making…

Workflows are a fundamental component of automation in enterprise platforms, enabling the orchestration of tasks, data processing, and system integrations. Despite being widely used, building workflows can be complex, often requiring manual…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Patrice Bechard , Chao Wang , Amirhossein Abaskohi , Juan Rodriguez , Christopher Pal , David Vazquez , Spandana Gella , Sai Rajeswar , Perouz Taslakian

Sketch animations offer a powerful medium for visual storytelling, from simple flip-book doodles to professional studio productions. While traditional animation requires teams of skilled artists to draw key frames and in-between frames,…

Graphics · Computer Science 2024-11-19 Hmrishav Bandyopadhyay , Yi-Zhe Song

Computer-aided design (CAD) is the most widely used modeling approach for technical design. The typical starting point in these designs is 2D sketches which can later be extruded and combined to obtain complex three-dimensional assemblies.…

Machine Learning · Computer Science 2021-06-08 Wamiq Reyaz Para , Shariq Farooq Bhat , Paul Guerrero , Tom Kelly , Niloy Mitra , Leonidas Guibas , Peter Wonka

Most existing sequence generation models produce outputs in one pass, usually left-to-right. However, this is in contrast with a more natural approach that humans use in generating content; iterative refinement and editing. Recent work has…

Computation and Language · Computer Science 2022-05-26 Machel Reid , Graham Neubig

We present a simple and efficient method based on deep learning to automatically decompose sketched objects into semantically valid parts. We train a deep neural network to transfer existing segmentations and labelings from 3D models to…

Graphics · Computer Science 2018-08-01 Lei Li , Hongbo Fu , Chiew-Lan Tai

Freehand sketches exhibit unique sparsity and abstraction, necessitating learning pipelines distinct from those designed for images. For sketch learning methods, the central objective is to fully exploit the effective information embedded…

Graphics · Computer Science 2026-03-12 Xi Cheng , Pingfa Feng , Mingyu Fan , Zhichao Liao , Hang Cheng , Long Zeng

Illustration is a fundamental mode of human expression and communication. Certain types of motion that accompany speech can provide this illustrative mode of communication. While Augmented and Virtual Reality technologies (AR/VR) have…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Hui Xian Grace Lim , Xuanming Cui , Yogesh S Rawat , Ser-Nam Lim

Machine learning practitioners often end up tunneling on low-level technical details like model architectures and performance metrics. Could early model development instead focus on high-level questions of which factors a model ought to pay…

Human-Computer Interaction · Computer Science 2023-03-07 Michelle S. Lam , Zixian Ma , Anne Li , Izequiel Freitas , Dakuo Wang , James A. Landay , Michael S. Bernstein

This work aims to investigate the problem of 3D modeling using single free-hand sketches, which is one of the most natural ways we humans express ideas. Although sketch-based 3D modeling can drastically make the 3D modeling process more…

Multimedia · Computer Science 2023-12-08 Tianrun Chen , Chenglong Fu , Lanyun Zhu , Papa Mao , Jia Zhang , Ying Zang , Lingyun Sun

Reasoning over sequences of images remains a challenge for multimodal large language models (MLLMs). While recent models incorporate multi-image data during pre-training, they still struggle to recognize sequential structures, often…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Danae Sánchez Villegas , Ingo Ziegler , Desmond Elliott

Sketches are a medium to convey a visual scene from an individual's creative perspective. The addition of color substantially enhances the overall expressivity of a sketch. This paper proposes two methods to mimic human-drawn colored…

Computer Vision and Pattern Recognition · Computer Science 2022-01-10 V Manushree , Sameer Saxena , Parna Chowdhury , Manisimha Varma , Harsh Rathod , Ankita Ghosh , Sahil Khose

Deep learning-based sketch-to-clothing image generation provides the initial designs and inspiration in the fashion design processes. However, clothing generation from freehand drawing is challenging due to the sparse and ambiguous…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Yongming Zhang , Tianyu Zhang , Haoran Xie

Stream monitoring is fundamental in many data stream applications, such as financial data trackers, security, anomaly detection, and load balancing. In that respect, quantiles are of particular interest, as they often capture the user's…

Data Structures and Algorithms · Computer Science 2022-01-07 Rana Shahout , Roy Friedman , Ran Ben Basat