single-image-generation

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (12 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Improved Techniques for Training Single-Image GANs
  25 Mar 2020 4 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 1 pointer-only (licence)
  Recently there has been an interest in the potential of learning generative models from a single image, as opposed to from a large dataset.
• PetsGAN: Rethinking Priors for Single Image Generation
  3 Mar 2022 2 repositories listed
  Moreover, we apply our method to other image manipulation tasks (e.
• Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
  21 Aug 2024 1 repository listed
  This paper is the first to address the intellectual property infringement issue arising from MVDMs.
• AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
  19 Sep 2023 1 repository listed
  Therefore, we propose to search the optimal time steps sequence and compressed model architecture in a unified framework to achieve effective image generation for diffusion models without any further training.
• Towards Smooth Video Composition
  14 Dec 2022 1 repository listed
  Video generation requires synthesizing consistent and persistent frames with dynamic content over time.
• SinDDM: A Single Image Denoising Diffusion Model
  29 Nov 2022 1 repository listed Syntology ran 3 of 12 samples · 9 unverified
  Here, we introduce a framework for training a DDM on a single image.
• A Patch-Based Algorithm for Diverse and High Fidelity Single Image Generation
  16 Oct 2022 1 repository listed
  However, Shaham et al.
• Meta Internal Learning
  6 Oct 2021 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  Internal learning for single-image generation is a framework, where a generator is trained to produce novel images based on a single image.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.