Christoph Lassner

Latest

• SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
• Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient
• Neural Lens Modeling
• NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
• Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments
• SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields
• Human View Synthesis using a Single Sparse RGB-D Input
• TAVA: Template-free Animatable Volumetric Actors
• Efficient Estimation of Boundary Integrals for Path-Space Differentiable Rendering
• HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
• Virtual Elastic Objects
• Neural 3D Video Synthesis
• Self-supervised Neural Articulated Shape and Appearance Models
• Advances in Neural Rendering
• Non-rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene from Monocular Video
• ANR: Articulated Neural Rendering for Virtual Avatars
• Pulsar: Efficient Sphere-based Neural Rendering
• TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
• ARCH: Animatable Reconstruction of Clothed Humans
• Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
• Efficient Learning on Point Clouds With Basis Point Sets
• Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
• Combining Data-Driven 2D and 3D Human Appearance Models
• Towards Accurate Marker-less Human Shape and Pose Estimation over Time
• A Generative Model of People in Clothing
• Unite the People: Closing the Loop Between 3D and 2D Human Representations
• Early Stopping Without a Validation Set
• Barrista - Caffe Well-Served
• Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
• The fertilized forests Decision Forest Library
• Active Learning for Efficient Sampling of Control Models of Collectives
• Active Learning for Efficient Sampling of Control Models of Collectives
• Norm-induced Entropies for Decision Forests
• Methods and Applications for Distance Based ANN Training
• An Analysis of Successful Approaches to Human Pose Estimation