Browse State-of-the-Art › Lifelike 3D Human Generation
Lifelike 3D Human Generation
6 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
Generating realistic and lifelike 3D Humans from a Single RGB image input, while preserving face identity, delivering realistic texture, accurate geometry, and maintaining a valid pose of the generated human.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| THuman2.0 Dataset (6 rows) | Human-VDM | Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (6 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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4 Sep 2024 1 repository listedGenerating lifelike 3D humans from a single RGB image remains a challenging task in computer vision, as it requires accurate modeling of geometry, high-quality texture, and plausible unseen parts.
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18 Mar 2024 1 repository listedIn this paper, we propose a new method called \emph{Ultraman} for fast reconstruction of textured 3D human models from a single image.
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10 Dec 2023 1 repository listed Syntology ran 13 of 18 samples · 5 unverifiedA key limitation of previous methods is their insufficient prior guidance in transitioning from 2D to 3D and in texture prediction.
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27 Nov 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedFor the former, we employ a powerful generative diffusion model to hallucinate unseen back-view appearance based on the input images.
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8 Jul 2020 1 repository listedTo overcome the limitations of regular 3D representations, we propose Parametric Model-Conditioned Implicit Representation (PaMIR), which combines the parametric body model with the free-form deep implicit function.
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13 May 2019 1 repository listedWe introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
Syntology lines on 2 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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