Browse State-of-the-Art › 3D Face Reconstruction
3D Face Reconstruction
83 papers with code · 9 benchmarks · 11 datasets archive 2025-07-28
3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
( Image credit: 3DDFA_V2 )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
9 leaderboard tables shown for this task, 9 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.
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
11 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 83 papers with code (211 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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2 Dec 2016 110 repositories listed Syntology ran 89 of 164 samples · 75 unverified · 90 pointer-only (licence)Point cloud is an important type of geometric data structure.
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3 Oct 2017 19 repositories listedIt involves predicting the co-ordinates of the FKPs, e.
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1 Jun 2020 9 repositories listedThough tremendous strides have been made in uncontrolled face detection, accurate and efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open challenge.
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1 Nov 2017 9 repositories listedFLAME is low-dimensional but more expressive than the FaceWarehouse model and the Basel Face Model.
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27 Sep 2016 7 repositories listed Syntology ran 1 of 9 samples · 8 unverifiedDespite the size of the dataset, some of our models train to convergence in less than a day on a single machine using TensorFlow.
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15 Dec 2016 5 repositories listedThe 3D shapes of faces are well known to be discriminative.
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15 Aug 2022 4 repositories listedEven though 3D face reconstruction has achieved impressive progress, most orthogonal projection-based face reconstruction methods can not achieve accurate and consistent reconstruction results when the face is very…
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19 Oct 2021 4 repositories listedOur synergy process leverages a representation cycle for 3DMM parameters and 3D landmarks.
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20 Mar 2019 4 repositories listed Syntology ran 11 of 36 samples · 25 unverifiedRecently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency.
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21 Mar 2018 4 repositories listed Syntology ran 0 of 10 samples · 10 unverifiedWe propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment.
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21 Sep 2020 3 repositories listed Syntology ran 6 of 10 samples · 4 unverified · 3 pointer-only (licence)Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously.
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12 Mar 2020 3 repositories listed Syntology ran 4 of 15 samples · 11 unverifiedIn this paper, we introduce a method to reconstruct 3D facial shapes with high-fidelity textures from single-view images in-the-wild, without the need to capture a large-scale face texture database.
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1 Dec 2023 2 repositories listedIn this paper, we fully utilize the facial part segmentation geometry by introducing Part Re-projection Distance Loss (PRDL).
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FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models1 Jun 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)The ability to create high-quality 3D faces from a single image has become increasingly important with wide applications in video conferencing, AR/VR, and advanced video editing in movie industries.
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1 Jan 2022 2 repositories listedRemoving hair from portrait images is challenging due to the complex occlusions between hair and face, as well as the lack of paired portrait data with/without hair.
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30 Mar 2021 2 repositories listedRecent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e.
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7 Dec 2020 2 repositories listedSome methods produce faces that cannot be realistically animated because they do not model how wrinkles vary with expression.
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16 May 2019 2 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedThe estimation of 3D face shape from a single image must be robust to variations in lighting, head pose, expression, facial hair, makeup, and occlusions.
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22 Mar 2019 2 repositories listed3D face reconstruction from a single 2D image is a challenging problem with broad applications.
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15 Jun 2018 2 repositories listed Syntology ran 0 of 13 samples · 13 unverifiedWe train a regression network using these objectives, a set of unlabeled photographs, and the morphable model itself, and demonstrate state-of-the-art results.
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29 Mar 2017 2 repositories listedIt has been recently shown that neural networks can recover the geometric structure of a face from a single given image.
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23 May 2025 1 repository listedFurthermore, we propose a new component, namely correction, and present a computationally efficient approach that penalizes for mesh topology inconsistency.
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1 Jan 2025 1 repository listedThese person-specific models excel at capturing individual facial shapes and detailed features while preserving the robustness and prior knowledge of detail variations from the base model.
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21 Oct 2024 1 repository listedThis paper tries to tackle this problem by introducing a novel method for texture estimation from a single image by first using StyleGAN and 3D Morphable Models.
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10 Oct 2024 1 repository listedThe results show that our multi-task learning approach significantly improves the loss function for delicate facial parts, thus enhancing the quality of reconstruction in these specific areas.
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5 Apr 2024 1 repository listedInstead, SMIRK replaces the differentiable rendering with a neural rendering module that, given the rendered predicted mesh geometry, and sparsely sampled pixels of the input image, generates a face image.
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8 Mar 2024 1 repository listedTo overcome this limitation and enhance the reconstruction of 3D structural features, we propose an innovative approach that integrates existing 2D features with 3D features to guide the model learning process.
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18 Jan 2024 1 repository listedRecent advances in single-image 3D face reconstruction have shown remarkable progress in various applications.
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1 Jan 2024 1 repository listedTo solve these problems we introduce an Identity-Conditioned Latent Diffusion Model for face UV-texture generation (UV-IDM) to generate photo-realistic textures based on the Basel Face Model (BFM).
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12 Jun 2023 1 repository listedWe use raw MVS scans as supervision during training, but, once trained, TEMPEH directly predicts 3D heads in dense correspondence without requiring scans.
Syntology lines on 9 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections