What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? von Mayer, Nikolaus, Ilg, Eddy, Fischer, Philipp, Hazirbas, Caner, Cremers, Daniel, Dosovitskiy, Alexey, Brox, Thomas

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Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction von Chabra, Rohan, Lenssen, Jan E., Ilg, Eddy, Schmidt, Tanner, Straub, Julian, Lovegrove, Steven, Newcombe, Richard

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Lucid Data Dreaming for Video Object Segmentation von Khoreva, Anna, Benenson, Rodrigo, Ilg, Eddy, Brox, Thomas, Schiele, Bernt

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TLIO: Tight Learned Inertial Odometry von Liu, Wenxin, Caruso, David, Ilg, Eddy, Dong, Jing, Mourikis, Anastasios I., Daniilidis, Kostas, Kumar, Vijay, Engel, Jakob

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Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation von Ilg, Eddy, Saikia, Tonmoy, Keuper, Margret, Brox, Thomas

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Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes von Yunus, Raza, Lenssen, Jan Eric, Niemeyer, Michael, Liao, Yiyi, Rupprecht, Christian, Theobalt, Christian, Pons‐Moll, Gerard, Huang, Jia‐Bin, Golyanik, Vladislav, Ilg, Eddy

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Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow von Ilg, Eddy, Çiçek, Özgün, Galesso, Silvio, Klein, Aaron, Makansi, Osama, Hutter, Frank, Brox, Thomas

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End-to-End Learning of Video Super-Resolution with Motion Compensation von Makansi, Osama, Ilg, Eddy, Brox, Thomas

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iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning von Fischer, Tom, Liu, Yaoyao, Jesslen, Artur, Ahmed, Noor, Kaushik, Prakhar, Wang, Angtian, Yuille, Alan L., Kortylewski, Adam, Ilg, Eddy

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Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids von Braunstein, Cameron, Ilg, Eddy, Golyanik, Vladislav

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Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos von Sommer, Leonhard, Jesslen, Artur, Ilg, Eddy, Kortylewski, Adam

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Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields von Fischer, Tom, Peter, Pascal, Weickert, Joachim, Ilg, Eddy

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Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory von Kälble, Jonas, Wirges, Sascha, Tatarchenko, Maxim, Ilg, Eddy

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SimNP: Learning Self-Similarity Priors Between Neural Points von Wewer, Christopher, Ilg, Eddy, Schiele, Bernt, Lenssen, Jan Eric

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SLayR: Scene Layout Generation with Rectified Flow von Braunstein, Cameron, Petekkaya, Hevra, Lenssen, Jan Eric, Toneva, Mariya, Ilg, Eddy

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Spurfies: Sparse Surface Reconstruction using Local Geometry Priors von Raj, Kevin, Wewer, Christopher, Yunus, Raza, Ilg, Eddy, Lenssen, Jan Eric

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Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids von Braunstein, Cameron, Ilg, Eddy, Golyanik, Vladislav

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latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction von Wewer, Christopher, Raj, Kevin, Ilg, Eddy, Schiele, Bernt, Lenssen, Jan Eric

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Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation von Schröppel, Philipp, Wewer, Christopher, Lenssen, Jan Eric, Ilg, Eddy, Brox, Thomas

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Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction von Das, Devikalyan, Wewer, Christopher, Yunus, Raza, Ilg, Eddy, Lenssen, Jan Eric

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