TUM AI Lecture Series - Radiant Foam: Real-Time Differentiable Ray Tracing (Andrea Tagliasacchi)

TUM AI Lecture Series - The multimodal future: Why visual representation still matters (Saining Xie)

TUM AI Lecture Series - FLUX: Flow Matching for Content Creation at Scale (Robin Rombach)

TUM AI Lecture Series - The 3D Gaussian Splatting Adventure: Past, Present, Futur (George Drettakis)

TUM AI Lecture Series - Dream Machine: Emergent Capabilities from Video Models (Jiaming Song)

TUM AI Lecture Series - I2DL Guest Lecture 2023 - 2D Priors for 3D Generation (Ben Poole)

TUM AI Lecture Series - Neural Fields Beyond Novel View Synthesis (Andrea Tagliasacchi)

TUM AI Lecture Series - Visual Synthesis for Understanding our (Visual) World (Björn Ommer)

TUM AI Lecture Series - Complete Codec Telepresence (Michael Zollhoefer)

TUM AI Lecture Series - Efficient Neural Scene Representation, Rendering, and ... (Gordon Wetzstein)

TUM AI Lecture Series - Shape editing, generation, and stylization (Rana Hanocka)

TUM AI Lecture Series - Deep Surface Meshes (Pascal Fua)

TUM AI Lecture Series - Learning to Walk with Vision and Proprioception (Jitendra Malik)

TUM AI Lecture Series - Self-supervising 3D Scene Representations for ... (Katerina Fragkiadaki)

TUM AI Lecture Series - Joint Learning Over Visual and Geometric Data (Leonidas Guibas)

TUM AI Lecture Series - Broad Data for Broad Robot Generalization (Chelsea Finn)

TUM AI Lecture Series - Virtual Humans: Putting Realistic People in Realistic... (Michael Black)

TUM AI Lecture Series - Sensible Algorithms for Learning from Geometric Data (Justin Solomon)

TUM AI Lecture Series - Understanding and Mitigating Bias in Visual Recognition (Judy Hoffman)

TUM AI Lecture Series - Detecting Cross-Modal Inconsistency to Defend Against Neural.. (Kate Saenko)

TUM AI Lecture Series - New Generative Models for Images, Landscape Videos and ...(Victor Lempitsky)

TUM AI Lecture Series - A Future With Self-Driving Vehicles (Raquel Urtasun)

TUM AI Lecture Series - On Removing Supervision from Contrastive Self-Supervised... (Alexei Efros)

TUM AI Lecture Series - Explainability and Compositionality for Visual Recognition (Zeynep Akata)

TUM AI Lecture Series - Learning Representations and Geometry from Unlabeled Videos (Andrea Vedaldi)

TUM AI Lecture Series - Photorealistic Telepresence (Yaser Sheikh)

TUM AI Lecture Series - Sights, Sounds, and Space: Audio-visual Learning in 3D (Kristen Grauman)

TUM AI Lecture Series - Controllable Content Generation without Direct Supervision (Niloy Mitra)

TUM AI Lecture Series - New Methods for Reconstruction and Neural Rendering (Christian Theobalt)

TUM AI Lecture Series - Learning to Retime People in Videos (Tali Dekel)

TUM AI Lecture Series - The Moon Camera (Bill Freeman)

TUM AI Lecture Series - Towards Graph-Based Spatial AI (Andrew Davison)

TUM AI Lecture Series - Reconstructing the Plenoptic Function (Noah Snavely)

TUM AI Lecture Series - Neural Implicit Representations for 3D Vision (Andreas Geiger)

TUM AI Lecture Series - AI for 3D Content Creation (Sanja Fidler)

TUM AI Lecture Series - A Question of Representation in 3D Computer Vision (Bharath Hariharan)

TUM AI Lecture Series - Shape Reps: Parametric Meshes vs Implicit Functions (Gerard Pons-Moll)

TUM AI Lecture Series - Making 3D Predictions with 2D Supervision (Justin Johnson)

TUM AI Lecture Series - Computer Vision Startup Trends & Commercializing Research (Evan Nisselson)

TUM AI Lecture Series - Perceiving Humans in the 3D World (Angjoo Kanazawa)

TUM AI Lecture Series - Implicit Neural Scene Representations (Vincent Sitzmann)

2nd ScanNet Indoor Scene Understanding Workshop (CVPR'20)