Local implicit ray function for generalizable radiance field representation
Abstract We propose LIRF (Local Implicit Ray Function), a generalizable neural rendering
approach for novel view rendering. Current generalizable neural radiance fields (NeRF) …
approach for novel view rendering. Current generalizable neural radiance fields (NeRF) …
Geonerf: Generalizing nerf with geometry priors
MM Johari, Y Lepoittevin… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
We present GeoNeRF, a generalizable photorealistic novel view synthesis method based on
neural radiance fields. Our approach consists of two main stages: a geometry reasoner and …
neural radiance fields. Our approach consists of two main stages: a geometry reasoner and …
Learning neural light fields with ray-space embedding
Neural radiance fields (NeRFs) produce state-of-the-art view synthesis results, but are slow
to render, requiring hundreds of network evaluations per pixel to approximate a volume …
to render, requiring hundreds of network evaluations per pixel to approximate a volume …
MIMO-NeRF: Fast neural rendering with multi-input multi-output neural radiance fields
T Kaneko - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
Neural radiance fields (NeRFs) have shown impressive results for novel view synthesis.
However, they depend on the repetitive use of a single-input single-output multilayer …
However, they depend on the repetitive use of a single-input single-output multilayer …
Steernerf: Accelerating nerf rendering via smooth viewpoint trajectory
Abstract Neural Radiance Fields (NeRF) have demonstrated superior novel view synthesis
performance but are slow at rendering. To speed up the volume rendering process, many …
performance but are slow at rendering. To speed up the volume rendering process, many …
Able-nerf: Attention-based rendering with learnable embeddings for neural radiance field
Abstract Neural Radiance Field (NeRF) is a popular method in representing 3D scenes by
optimising a continuous volumetric scene function. Its large success which lies in applying …
optimising a continuous volumetric scene function. Its large success which lies in applying …
Adanerf: Adaptive sampling for real-time rendering of neural radiance fields
Novel view synthesis has recently been revolutionized by learning neural radiance fields
directly from sparse observations. However, rendering images with this new paradigm is …
directly from sparse observations. However, rendering images with this new paradigm is …
Baking neural radiance fields for real-time view synthesis
P Hedman, PP Srinivasan… - Proceedings of the …, 2021 - openaccess.thecvf.com
Neural volumetric representations such as Neural Radiance Fields (NeRF) have emerged
as a compelling technique for learning to represent 3D scenes from images with the goal of …
as a compelling technique for learning to represent 3D scenes from images with the goal of …
Light field neural rendering
Classical light field rendering for novel view synthesis can accurately reproduce view-
dependent effects such as reflection, refraction, and translucency, but requires a dense view …
dependent effects such as reflection, refraction, and translucency, but requires a dense view …
Multiscale tensor decomposition and rendering equation encoding for view synthesis
Rendering novel views from captured multi-view images has made considerable progress
since the emergence of the neural radiance field. This paper aims to further advance the …
since the emergence of the neural radiance field. This paper aims to further advance the …