Abstract Art Interpretation Using ControlNet

Rishabh Srivastava, Addrish Roy
8/23/2024
cs.CVcs.AIcs.LG

No official code found. Best implementation: RishabhS66/Abstract-Art-Interpretation-Using-ControlNet (0 stars, last commit 2024-09-08).

Abstract

Our study delves into the fusion of abstract art interpretation and text-to-image synthesis, addressing the challenge of achieving precise spatial control over image composition solely through textual prompts. Leveraging the capabilities of ControlNet, we empower users with finer control over the synthesis process, enabling enhanced manipulation of synthesized imagery. Inspired by the minimalist forms found in abstract artworks, we introduce a novel condition crafted from geometric primitives such as triangles.

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Code Implementations(1)

RishabhS66/Abstract-Art-Interpretation-Using-ControlNetCommunity100%

ControlNet training with custom control images

01Shell, PythonApr 29, 20242 years ago

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Cite this paper

@article{srivastava2024abstract,
  title  = {Abstract Art Interpretation Using ControlNet},
  author = {Rishabh Srivastava and Addrish Roy},
  year   = {2024},
  eprint = {2408.13287},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.13287v1}
}

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