SketchINR: A First Look into Sketches as Implicit Neural Representations
Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song
2024年份
13顶会引用
摘要
Compressed Sketch Storage (Bytes) Figure 1 . SketchINR is an implicit neural representation for sequential vector sketches. It is the first neural representation with sufficient fidelity to be a drop-in replacement for the raw sketch data (a). The representation is significantly higher fidelity than existing learned representations such as SketchRNN [28], especially for more complex sketches (b, left). SketchINR also provides state-of-the-art sketch compression, with a substantially more compact representation than either vector or raster sketches (b, right).
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引用它的顶会 Paper13
- GenPara: Enhancing the 3D Design Editing Process by Inferring Users' Regions of Interest with Text-Conditional Shape ParametersJiin Choi, Seung Won Lee, Kyung Hoon HyunCHI 2025 · 被引用 6 次
- Enhancing Implicit Neural Representations via Symmetric Power TransformationWeixiang Zhang, Shuzhao Xie, Chengwei Ren, Shijia Ge 等AAAI 2025 · 被引用 5 次
- NTK-Guided Implicit Neural TeachingChen Zhang, Wei Zuo, Bingyang Cheng, Yikun Wang 等CVPR 2026 · 被引用 3 次
- VQ-SGen: A Vector Quantized Stroke Representation for Creative Sketch GenerationJiawei Wang, Zhiming Cui, Changjian LiICCV 2025 · 被引用 3 次
- StrokeFusion: Vector Sketch Generation via Joint Stroke-UDF Encoding and Latent Sequence DiffusionJin Zhou, Yi Zhou, Hongliang Yang, Pengfei Xu 等AAAI 2026 · 被引用 2 次
它引用的顶会 Paper23
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- Free-Form Image Inpainting With Gated ConvolutionJiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen 等ICCV 2019 · 被引用 1,990 次
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- DeepSVG: A Hierarchical Generative Network for Vector Graphics AnimationAlexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu TimofteNeurIPS 2020 · 被引用 247 次
- CLIPasso: semantically-aware object sketchingYael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann 等SIGGRAPH 2022 · 被引用 219 次
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