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Face Reconstruction

Face reconstruction is the task of recovering the facial geometry of a face from an image.

( Image credit: Microsoft Deep3DFaceReconstruction )

Papers

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Showing 1–25 of 259 papers

TitleStatusHype
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter—0
3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method EvaluationCode0
TokBench: Evaluating Your Visual Tokenizer before Visual Generation—0
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction—0
StyleMorpheus: A Style-Based 3D-Aware Morphable Face ModelCode0
Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size—0
Sketch-1-to-3: One Single Sketch to 3D Detailed Face Reconstruction—0
TalkingEyes: Pluralistic Speech-Driven 3D Eye Gaze Animation—0
Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding—0
Learning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base ModelCode0
S^3-Face: SSS-Compliant Facial Reflectance Estimation via Diffusion Priors—0
3D Face Reconstruction With Geometry Details From a Single Color Image Under Occluded Scenes—0
Generative Landmarks Guided Eyeglasses Removal 3D Face Reconstruction—0
Generative Face Parsing Map Guided 3D Face Reconstruction Under Occluded Scenes—0
HAIFAI: Human-AI Collaboration for Mental Face Reconstruction—0
3D Face Reconstruction From Radar Images—0
KAN See Your Face—0
Face Reconstruction from Face Embeddings using Adapter to a Face Foundation Model—0
OFER: Occluded Face Expression Reconstruction—0
Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression RecognitionCode0
3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh GenerationCode2
MPF-GAN: an enhanced architecture for 3D face reconstructionCode0
Stable Video Portraits—0
End to End Face Reconstruction via Differentiable PnP—0
FreeAvatar: Robust 3D Facial Animation Transfer by Learning an Expression Foundation Model—0
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