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3D Facial and Full-body Reconstruction Papers

Implicit Representations

2024

Lyu, X., Sun, Y. T., Huang, Y. H., Wu, X., Yang, Z., Chen, Y., ... & Qi, X. (2024). 3dgsr: Implicit surface reconstruction with 3d gaussian splatting. arXiv preprint arXiv:2404.00409.

2023

Learning Neural Parameteric Head Models, CVPR, Project Page, Code

Latent Avatar: Learning Latent Expression Code for Expressive Neural Head Avatar, SIGGRAPH, Project Page, Code

Instant Volumetric Head Avatars, CVPR, Project Page, Code

Relightable Neural Human Assets from Multi-view Gradient Illuminations, CVPR, Project Page, Data

Generalizable One-shot Neural Head Avatar, Project Page

Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction, Project Page, Code

HexPlane: A Fast Representation for Dynamic Scenes, CVPR, Project Page, Code

NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images, CVPR, Code

Human 3D Avatar Modeling with Implicit Neural Representation: A Brief Survey, ICSPS

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings, Code

NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads, SIGGRAPH, Project Page, Code

2022

Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video, TOG, Project Page, Code

Implicit Neural Deformation for Sparse-View Face Reconstruction, Computer Graphics Forum,

ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations, CVPR, Code

Articulated Implicit Representations

2023

X-Avatar: Expressive Human Avatars, CVPR, Project Page, Code

SAOR: Single-View Articulated Object Reconstruction, Project Page

InstantAvatar: Learning Avatars form Monocular Video in 60 seconds, CVPR, Project Page, Code

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition, CVPR, Project Page, Code

Fast-SNARF: A Fast Deformer for Articulated Neural Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, Code

PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling, SIGGRAPH, ProjectPage, Code

DNA: Deformable Neural Articulations Network for Template-free Dynamic 3D Human Reconstruction from Monocular RGB-D Video, CVPR

PersonNeRF: Personalized Reconstruction from Photo Collections, CVPR, Project Page,

UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing

SHERF: Generalizable Human NeRF from a Single Image, ICCV, Project Page, Code

PhoMoH: Implicit Photorealistic 3D Models of Human Heads,

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization, SIGGRAPH, Project Page, Project Page

2022

COAP: Compositional Articulated Occupancy of People, CVPR, Project Page, Code

Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations, ECCV, Project Page, Code,

TAVA: Template-free Animatable Volumetric Actors, ECCV, Code

SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video, CVPR, Project Page Code

ARAH: Animatable Volume Rendering of Articulated Human SDFs, ECCV, Project Page, Code

NeuMan: Neural Human Radiance Field from a Single Video, ECCV, Code

HeadNeRF: A Real-time NeRF-based Parametric Head Model, CVPR, Project Page, Code

Human Performance Modeling and Rendering via Neural Animated Mesh, TOG, Project Page, Code

ICON: Implicit Clothed Humans Obtained from Normals, CVPR, Project Page, Code

gDNA: Towards Generative Detailed Neural Avatars, CVPR, Project Page, Code

AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture, ECCV, Project Page, Code

Animatable Implicit Neural Representations fro Creating Realistic Avatars from Videos, , Project Page, Code

AG3D: Learning to Generate 3D Avatars from 2D Image Collections, ICCV, Project Page, Code

2021

MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images, Neurips, Project Page, Code

A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose, Neurips, Project Page, Code

Neural Articulated Radiance Field, ICCV, Code

SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes, ICCV, Project Page, Code

Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting,

imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose, ICCV, Code

H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion, NeurIPS,

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control, TOG, Project Page,

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representations, ICCV, Project Page, Code, (Not humans but still articulated)

Motion Capture and Synthesis

2023

MoDi: Unconditional Motion Synthesis from Diverse Data, CVPR, Project Page, Code

2022

Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video, AAAI, Code

Explicit Representations

2023

StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video, SIGGRAPH, Project Page, Code

ECON: Explicit Clothed Humans Optimized via Normal Integration, CVPR, Project Page, Code

3D Generative Model Latent Disentanglement via Local Eigenprojection, Computer Graphics Forum, Code

ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling, Unofficial Code

2022

REALY: Rethinking the Evaluation of 3D Face Reconstruction, ECCV, Project Page, Code

Neural Point-based Shape Modeling of Humans in Challenging Clothing, 3DV, Project Page, Code

2020

Uncertaintly-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction, CVPR

Neural Rendering/Surface Reconstruction

2023

3D Gaussian Splatting for Real-Time Radiance Field Rendering, SIGGRAPH, Project Page, Code

Neuralangelo: High-Fidelity Neural Surface Reconstruction, CVPR, Project Page, Code

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction, ICCV, Project Page, Code

NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images, SIGGRAPH, Code

Explicit Neural Surfaces: Learning Continuous Geometry with Deformation Fields, NeurIPS,

NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object, Code

ShadowNeus: Neural SDF Reconstruction by Shadow Ray Supervision, CVPR, Project Page, Code

2022

Advances in Neural Rendering, Computer Graphics Forum

A Level Set Theory of Neural Implicit Evolution under Explicit Flows, ECCV, Project Page, Code

2021

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction, Neurips, Project Page, Code

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis, NeurIPS, Project Page, Code

NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination, SIGGRAPH, Project Page, Code

Geometry Processing with Neural Fields, NeurIPS, Project Page Code

Pulsar: Efficient Sphere-based Neural Rendering, CVPR, Project Page, Code

Differentiable Rendering

2022

Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising, NeurIPS, Project Page, Code

2021

Appearance-Driven Automatic 3D Model Simplification, SIGGRAPH, Project Page, Code

2020

Modular Primitives for High-Performance Differentiable Rendering, SIGGRAPH, Code

Learning 3D from images

2023

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation, Project Page, Code

2022

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images, NeurIPS, Project Page, Code

Diffusion-Models

2024

Yi, T., Fang, J., Wu, G., Xie, L., Zhang, X., Liu, W., ... & Wang, X. (2023). Gaussiandreamer: Fast generation from text to 3d gaussian splatting with point cloud priors. arXiv preprint arXiv:2310.08529.

Chen, C., Yang, X., Yang, F., Feng, C., Fu, Z., Foo, C. S., ... & Liu, F. (2024). Sculpt3d: Multi-view consistent text-to-3d generation with sparse 3d prior. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10228-10237).

Zhang, B., Cheng, Y., Yang, J., Wang, C., Zhao, F., Tang, Y., ... & Guo, B. (2024). GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling. arXiv preprint arXiv:2403.19655.

2023

Li, X., Wang, H., & Tseng, K. K. (2023). Gaussiandiffusion: 3d gaussian splatting for denoising diffusion probabilistic models with structured noise. arXiv preprint arXiv:2311.11221.

Szymanowicz, S., Rupprecht, C., & Vedaldi, A. (2023). Viewset diffusion:(0-) image-conditioned 3d generative models from 2d data. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 8863-8873).

Karnewar, A., Vedaldi, A., Novotny, D., & Mitra, N. J. (2023). Holodiffusion: Training a 3d diffusion model using 2d images. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 18423-18433).

Kim, S. W., Brown, B., Yin, K., Kreis, K., Schwarz, K., Li, D., ... & Fidler, S. (2023). Neuralfield-ldm: Scene generation with hierarchical latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 8496-8506).

Shue, J. R., Chan, E. R., Po, R., Ankner, Z., Wu, J., & Wetzstein, G. (2023). 3d neural field generation using triplane diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 20875-20886).

Wynn, J., & Turmukhambetov, D. (2023). Diffusionerf: Regularizing neural radiance fields with denoising diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4180-4189).

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models, CVPR, Project Page, Code

Diffusion-Based Signed Distance Fields for 3D Shape Generation, CVPR, Project Page

Wang, T., Zhang, B., Zhang, T., Gu, S., Bao, J., Baltrusaitis, T., ... & Guo, B. (2023). Rodin: A generative model for sculpting 3d digital avatars using diffusion. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 4563-4573).

Li, M., Duan, Y., Zhou, J., & Lu, J. (2023). Diffusion-sdf: Text-to-shape via voxelized diffusion. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 12642-12651).

Yang, X., Chen, Y., Chen, C., Zhang, C., Xu, Y., Yang, X., ... & Lin, G. (2023). Learn to optimize denoising scores for 3d generation: A unified and improved diffusion prior on nerf and 3d gaussian splatting. arXiv preprint arXiv:2312.04820.

2022

Poole, B., Jain, A., Barron, J. T., & Mildenhall, B. (2022). Dreamfusion: Text-to-3d using 2d diffusion. arXiv preprint arXiv:2209.14988.

Other

2019

Zhou, Y., Barnes, C., Lu, J., Yang, J., & Li, H. (2019). On the continuity of rotation representations in neural networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 5745-5753).

2007

Sumner, R. W., Schmid, J., & Pauly, M. (2007). Embedded deformation for shape manipulation. In ACM siggraph 2007 papers (pp. 80-es).

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