Patrick Esser

12 papers · 2018–2024 · 6 venues · across top CS/AI venues

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Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20)

🧭 Keyword Pioneer 🤝 Dynamic Duo (10) 🗃️ Keyword Collector (56) 💎 Century Club · Bronze 🔥 Unstoppable · Bronze

Venues

CVPR (4) ICCV (3) NeurIPS (2) ECCV (1) ICLR (1) ICML (1)

Top co-authors

Bjorn Ommer (10) Robin Rombach (8) Andreas Blattmann (3) Dominik Lorenz (2) Jonas Müller (1) Md Amirul Islam (1) Harry Saini (1) Sen Jia (1) Yam Levi (1) Parmida Atighehchian (1)

Research topics

Deep Learning (9) Computer Vision (8) Generation (7) Models (6) Machine Learning (5) Architectures (5) Artificial Intelligence (3) Core Methods (3) Analysis (2) Core AI (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Learning Paradigms (1) Optimization & Theory (1)

Keywords

diffusion model (4) image synthesis (3) image generation (3) text-to-image synthesis (2) conditional generation (2) transformer architecture (2) variational autoencoder (2) disentangled representation (2) convolutional neural network (2) latent representation (2) probabilistic modeling (1) attention mechanism (1) depth estimation (1) image classification (1) video synthesis (1) 3d correspondence (1) adversarial learning (1) image inpainting (1) generative model (1) text-to-image generation (1)

Papers

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis ICML 2024 Structure and Content-Guided Video Synthesis with Diffusion Models ICCV 2023 High-Resolution Image Synthesis With Latent Diffusion Models CVPR 2022 Geometry-Free View Synthesis: Transformers and No 3D Priors ICCV 2021 ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis NeurIPS 2021 Shape or Texture: Understanding Discriminative Features in CNNs ICLR 2021 Taming Transformers for High-Resolution Image Synthesis CVPR 2021 A Disentangling Invertible Interpretation Network for Explaining Latent Representations CVPR 2020 Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs ECCV 2020 Network-to-Network Translation with Conditional Invertible Neural Networks NeurIPS 2020 Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis ICCV 2019 A Variational U-Net for Conditional Appearance and Shape Generation CVPR 2018