Paolo Favaro

Adapting Dense Matching for Homography Estimation with Grid-based Acceleration CVPR 2025 CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation AAAI 2025 Diffusion Image Prior ICCV 2025 Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling ICLR 2025 GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control CVPR 2025 Blind Image Restoration via Fast Diffusion Inversion NeurIPS 2024 Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation WACV 2024 Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation AAAI 2024 Masked and Shuffled Blind Spot Denoising for Real-World Images CVPR 2024 A Meta-Learning Approach to Predicting Performance and Data Requirements CVPR 2023 Efficient Video Prediction via Sparsely Conditioned Flow Matching ICCV 2023 Representation Learning by Detecting Incorrect Location Embeddings AAAI 2023 ScaleDet: A Scalable Multi-Dataset Object Detector CVPR 2023 Spatio-Temporal Crop Aggregation for Video Representation Learning ICCV 2023 Controllable Video Generation through Global and Local Motion Dynamics ECCV 2022 KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022 MOVE: Unsupervised Movable Object Segmentation and Detection NeurIPS 2022 Semi-supervised Vision Transformers at Scale NeurIPS 2022 A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention ICML 2021 ISD: Self-Supervised Learning by Iterative Similarity Distillation ICCV 2021 Learning to Have an Ear for Face Super-Resolution CVPR 2020 Learning Video Representations by Transforming Time ECCV 2020 Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics CVPR 2020 Emergence of Object Segmentation in Perturbed Generative Models NeurIPS 2019 Learning to Extract Flawless Slow Motion From Blurry Videos CVPR 2019 On Stabilizing Generative Adversarial Training With Noise CVPR 2019 Boosting Self-Supervised Learning via Knowledge Transfer CVPR 2018 Deep Bilevel Learning ECCV 2018 Disentangling Factors of Variation by Mixing Them CVPR 2018 Learning to Extract a Video Sequence From a Single Motion-Blurred Image CVPR 2018 Normalized Blind Deconvolution ECCV 2018 Self-Supervised Feature Learning by Learning to Spot Artifacts CVPR 2018 Understanding Degeneracies and Ambiguities in Attribute Transfer ECCV 2018 Deep Mean-Shift Priors for Image Restoration NeurIPS 2017 Noise-Blind Image Deblurring CVPR 2017 Representation Learning by Learning to Count ICCV 2017 Total Variation Blind Deconvolution: The Devil is in the Details CVPR 2014 A New Perspective on Uncalibrated Photometric Stereo CVPR 2013