Neuralangelo: High-fidelity neural surface reconstruction
Neural surface reconstruction has been shown to be powerful for recovering dense 3D
surfaces via image-based neural rendering. However, current methods struggle to recover …
surfaces via image-based neural rendering. However, current methods struggle to recover …
Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction
Y Wang, Q Han, M Habermann… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recent methods for neural surface representation and rendering, for example NeuS, have
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
Humanrf: High-fidelity neural radiance fields for humans in motion
Representing human performance at high-fidelity is an essential building block in diverse
applications, such as film production, computer games or videoconferencing. To close the …
applications, such as film production, computer games or videoconferencing. To close the …
Avatarcraft: Transforming text into neural human avatars with parameterized shape and pose control
Neural implicit fields are powerful for representing 3D scenes and generating high-quality
novel views, but it remains challenging to use such implicit representations for creating a 3D …
novel views, but it remains challenging to use such implicit representations for creating a 3D …
Nerf-det: Learning geometry-aware volumetric representation for multi-view 3d object detection
Abstract We present NeRF-Det, a novel method for indoor 3D detection with posed RGB
images as input. Unlike existing indoor 3D detection methods that struggle to model scene …
images as input. Unlike existing indoor 3D detection methods that struggle to model scene …
Neural residual radiance fields for streamably free-viewpoint videos
The success of the Neural Radiance Fields (NeRFs) for modeling and free-view rendering
static objects has inspired numerous attempts on dynamic scenes. Current techniques that …
static objects has inspired numerous attempts on dynamic scenes. Current techniques that …
Neusg: Neural implicit surface reconstruction with 3d gaussian splatting guidance
Existing neural implicit surface reconstruction methods have achieved impressive
performance in multi-view 3D reconstruction by leveraging explicit geometry priors such as …
performance in multi-view 3D reconstruction by leveraging explicit geometry priors such as …
NeuralDome: A neural modeling pipeline on multi-view human-object interactions
Humans constantly interact with objects in daily life tasks. Capturing such processes and
subsequently conducting visual inferences from a fixed viewpoint suffers from occlusions …
subsequently conducting visual inferences from a fixed viewpoint suffers from occlusions …
Nero: Neural geometry and brdf reconstruction of reflective objects from multiview images
We present a neural rendering-based method called NeRO for reconstructing the geometry
and the BRDF of reflective objects from multiview images captured in an unknown …
and the BRDF of reflective objects from multiview images captured in an unknown …
Adaptive shells for efficient neural radiance field rendering
Neural radiance fields achieve unprecedented quality for novel view synthesis, but their
volumetric formulation remains expensive, requiring a huge number of samples to render …
volumetric formulation remains expensive, requiring a huge number of samples to render …