Browse State-of-the-Art › text-guided-generation
text-guided-generation
7 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
7 shown of 7 papers with code (21 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.
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3 Feb 2023 2 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedIn this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes.
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12 Jun 2024 1 repository listedMore specifically, inspired by the recent advancements of diffusion model-based inverse problem solvers (DIS), we reformulate text-guidance as an inverse problem with a text-conditioned score matching loss and develop…
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11 Mar 2024 1 repository listedWe propose 3M-Diffusion, a novel multi-modal molecular graph generation method, to generate diverse, ideally novel molecular structures with desired properties.
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5 Oct 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)This study focuses on two main objectives: (1) the development of a method for creating images based on textual prompts and anatomical components, and (2) the capability to generate new images conditioning on anatomical…
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14 Sep 2023 1 repository listedFinancial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making.
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28 Apr 2023 1 repository listedPictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative.
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29 Nov 2022 1 repository listed Syntology ran 3 of 12 samples · 9 unverifiedHere, we introduce a framework for training a DDM 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.
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