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20162024
most citedLearning Compositional Radiance Fields of Dynamic Human Heads

11 citations · 14 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes

Stefano Esposito, Anpei Chen, Christian Reiser +7

High-quality view synthesis relies on volume rendering, splatting, or surface rendering. While surface rendering is typically the fastest, it struggles to accurately model fuzzy ge…

cs.CV2022

TAVA: Template-free Animatable Volumetric Actors

Ruilong Li, Julian Tanke, Minh Vo +4

Coordinate-based volumetric representations have the potential to generate photo-realistic virtual avatars from images. However, virtual avatars also need to be controllable even t…

cs.CV2021★ 1 cited

Neural 3D Video Synthesis from Multi-view Video

Tianye Li, Mira Slavcheva, Michael Zollhoefer +8

We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation t…

cs.CV2020★ 11 cited

Learning Compositional Radiance Fields of Dynamic Human Heads

Ziyan Wang, Timur Bagautdinov, Stephen Lombardi +4

Photorealistic rendering of dynamic humans is an important ability for telepresence systems, virtual shopping, synthetic data generation, and more. Recently, neural rendering metho…

cs.CV2020★ 2 cited

PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations

Edgar Tretschk, Ayush Tewari, Vladislav Golyanik +3

Implicit surface representations, such as signed-distance functions, combined with deep learning have led to impressive models which can represent detailed shapes of objects with a…

cs.CV2016

Real-time Halfway Domain Reconstruction of Motion and Geometry

Lucas Thies, Michael Zollhöfer, Christian Richardt +2

We present a novel approach for real-time joint reconstruction of 3D scene motion and geometry from binocular stereo videos. Our approach is based on a novel variational halfway-do…