Bernhard Egger
13 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Computer Vision
(9)
Analysis
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Deep Learning
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Machine Learning
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Generation
(3)
Optimization & Theory
(3)
Artificial Intelligence
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Learning Types · Deep Learning
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Keywords
3d face reconstruction
(2)
inverse rendering
(2)
neural field
(2)
principal component analysis
(1)
weakly supervised learning
(1)
3d vision
(1)
video synthesis
(1)
model fitting
(1)
posterior sampling
(1)
markov chain monte carlo
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photometric stereo
(1)
diffusion model
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disentangled representation
(1)
variational autoencoder
(1)
neural radiance field
(1)
generative adversarial network
(1)
text-to-video generation
(1)
fourier feature
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mesh reconstruction
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image synthesis
(1)
Papers
AssemblyBench: Physics-Aware Assembly of Complex Industrial Objects
CVPR 2026
VENI: Variational Encoder for Natural Illumination
CVPR 2026
Matérn Kernels for Tunable Implicit Surface Reconstruction
ICLR 2025
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo
WACV 2024
RANRAC: Robust Neural Scene Representations via Random Ray Consensus
ECCV 2024
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility
ECCV 2024
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
CVPR 2024
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation
CVPR 2023
Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation
CVPR 2023
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
AAAI 2022
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
NeurIPS 2022
A Morphable Face Albedo Model
CVPR 2020
Efficient Global Illumination for Morphable Models
ICCV 2017