Ilg, Eddy

20 publications

CVPR 2025 EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg

ICCV 2025 TikZero: Zero-Shot Text-Guided Graphics Program Synthesis Jonas Belouadi, Eddy Ilg, Margret Keuper, Hideki Tanaka, Masao Utiyama, Raj Dabre, Steffen Eger, Simone Ponzetto

ICCV 2025 Unified Category-Level Object Detection and Pose Estimation from RGB Images Using 3D Prototypes Tom Fischer, Xiaojie Zhang, Eddy Ilg

CVPR 2024 Accurate Training Data for Occupancy mAP Prediction in Automated Driving Using Evidence Theory Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg

CVPR 2024 Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen

CVPR 2024 Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox

ICML 2024 Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg

CVPR 2024 Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski

ECCV 2024 iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, Eddy Ilg

ECCV 2024 latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan E. Lenssen

ICCV 2023 SimNP: Learning Self-Similarity Priors Between Neural Points Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen

CVPR 2022 NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney

NeurIPS 2022 Recurrent Video Restoration Transformer with Guided Deformable Attention Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc V Gool

ECCV 2020 Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe

ECCV 2018 Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox

ECCV 2018 Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Eddy Ilg, Ozgun Cicek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox

CVPR 2017 DeMoN: Depth and Motion Network for Learning Monocular Stereo Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox

CVPR 2017 FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox

CVPR 2016 A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox

ICCV 2015 FlowNet: Learning Optical Flow with Convolutional Networks Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox