mlsanityData to 7 Oct 2026

MEGANE: Morphable Eyeglass and Avatar Network

arXiv 2302.04868 ↗First posted 9 Feb 2023cs.CV cs.GRcited by 24

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Abstract (arXiv)

Eyeglasses play an important role in the perception of identity. Authentic virtual representations of faces can benefit greatly from their inclusion. However, modeling the geometric and appearance interactions of glasses and the face of virtual representations of humans is challenging. Glasses and faces affect each other's geometry at their contact points, and also induce appearance changes due to light transport. Most existing approaches do not capture these physical interactions since they model eyeglasses and faces independently. Others attempt to resolve interactions as a 2D image synthesis problem and suffer from view and temporal inconsistencies. In this work, we propose a 3D compositional morphable model of eyeglasses that accurately incorporates high-fidelity geometric and photometric interaction effects. To support the large variation in eyeglass topology efficiently, we employ a hybrid representation that combines surface geometry and a volumetric representation. Unlike volumetric approaches, our model naturally retains correspondences across glasses, and hence explicit modification of geometry, such as lens insertion and frame deformation, is greatly simplified. In addition, our model is relightable under point lights and natural illumination, supporting high-fidelity rendering of various frame materials, including translucent plastic and metal within a single morphable model. Importantly, our approach models global light transport effects, such as casting shadows between faces and glasses. Our morphable model for eyeglasses can also be fit to novel glasses via inverse rendering. We compare our approach to state-of-the-art methods and demonstrate significant quality improvements.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Builds on 43 of its 86 references that are in the map. First posted on arXiv 9 Feb 2023.

Builds on

43 of 86 references.

References · 43

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31 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 6; 2024: 8; 2025: 5; 2026: 5.

24 papers.

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  1. 2023Relightable Gaussian Codec Avatarscited by 126
  2. 2024URAvatar: Universal Relightable Gaussian Codec Avatarscited by 43
  3. 2023Text-Guided Generation and Editing of Compositional 3D Avatarscited by 39
  4. 2023Towards Practical Capture of High-Fidelity Relightable Avatarscited by 34
  5. 2023Relightable and Animatable Neural Avatar from Sparse-View Videocited by 28
  6. 2024Lite2Relight: 3D-aware Single Image Portrait Relightingcited by 25
  7. 2024GALA: Generating Animatable Layered Assets from a Single Scancited by 21
  8. 2024Gaussian Eigen Models for Human Headscited by 21
  9. 2023NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objectscited by 17
  10. 2024URHand: Universal Relightable Handscited by 17
  11. 2024PERSE: Personalized 3D Generative Avatars from A Single Portraitcited by 15
  12. 2023GAN-Avatar: Controllable Personalized GAN-based Human Head Avatarcited by 14
12 more
  1. 2024Gaussian Shadow Casting for Neural Characterscited by 14
  2. 20253DPR: Single Image 3D Portrait Relight using Generative Priorscited by 8
  3. 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributescited by 7
  4. 2025LUCAS: Layered Universal Codec Avatarscited by 7
  5. 2025HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatarscited by 7
  6. 2025Relightable Holoported Characters: Capturing and Relighting Dynamic Human Performance from Sparse Viewscited by 2
  7. 2025Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfercited by 1
  8. 2026ELITE: Efficient Gaussian Head Avatar from a Monocular Video via Learned Initialization and TEst-time Generative Adaptationcited by 1
  9. 2026Optimizing ID Consistency in Multimodal Large Models: Facial Restoration via Alignment, Entanglement, and Disentanglementcited by 0
  10. 2026EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Renderingcited by 0
  11. 2026FiCA: Feed-forward instant Gaussian Codec Avatars from a Single Portrait Imagecited by 0
  12. 2026Unwarping the Lens: A Physics-Grounded Approach to Video Glasses Removalcited by 0