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State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
Nerf: Representing scenes as neural radiance fields for view synthesis
We present a method that achieves state-of-the-art results for synthesizing novel views of
complex scenes by optimizing an underlying continuous volumetric scene function using a …
complex scenes by optimizing an underlying continuous volumetric scene function using a …
Nex: Real-time view synthesis with neural basis expansion
S Wizadwongsa, P Phongthawee… - Proceedings of the …, 2021 - openaccess.thecvf.com
We present NeX, a new approach to novel view synthesis based on enhancements of
multiplane image (MPI) that can reproduce next-level view-dependent effects--in real time …
multiplane image (MPI) that can reproduce next-level view-dependent effects--in real time …
Neural reflectance fields for appearance acquisition
We present Neural Reflectance Fields, a novel deep scene representation that encodes
volume density, normal and reflectance properties at any 3D point in a scene using a fully …
volume density, normal and reflectance properties at any 3D point in a scene using a fully …
Factor fields: A unified framework for neural fields and beyond
We present Factor Fields, a novel framework for modeling and representing signals. Factor
Fields decomposes a signal into a product of factors, each represented by a classical or …
Fields decomposes a signal into a product of factors, each represented by a classical or …
Dictionary fields: Learning a neural basis decomposition
We present Dictionary Fields, a novel neural representation which decomposes a signal into
a product of factors, each represented by a classical or neural field representation, operating …
a product of factors, each represented by a classical or neural field representation, operating …
[HTML][HTML] Deep appearance modeling: A survey
Y Dong - Visual Informatics, 2019 - Elsevier
Appearance modeling is an essential task in computer graphics for capturing and
reproducing rich appearance of real world materials under different lighting and viewing …
reproducing rich appearance of real world materials under different lighting and viewing …
Real-time neural appearance models
T Zeltner*, F Rousselle*, A Weidlich*… - ACM Transactions on …, 2024 - dl.acm.org
We present a complete system for real-time rendering of scenes with complex appearance
previously reserved for offline use. This is achieved with a combination of algorithmic and …
previously reserved for offline use. This is achieved with a combination of algorithmic and …
[PDF][PDF] Neumip: Multi-resolution neural materials
A Kuznetsov - ACM Transactions on Graphics (ToG), 2021 - par.nsf.gov
The world is full of materials with interesting small-scale structure: a green pasture
consisting of millions of individual blades of grass, a scratched and partially rusted metallic …
consisting of millions of individual blades of grass, a scratched and partially rusted metallic …
CVAD-GAN: Constrained video anomaly detection via generative adversarial network
Automatic detection of abnormal behavior in video sequences is a fundamental and
challenging problem for intelligent video surveillance systems. However, the existing state-of …
challenging problem for intelligent video surveillance systems. However, the existing state-of …