Summary Relighting Neural Radiance Fields with Shadow and Highlight Hints arxiv.org
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One Line
A new neural implicit radiance representation is introduced to overcome limitations in handling challenging effects for free viewpoint relighting.
Slides
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Key Points
- A novel neural implicit radiance representation is proposed for free viewpoint relighting.
- The method models both local and global light transport using a multi-layer perceptron.
- Previous methods for relighting scenes with challenging effects are limited.
- The Deferred Neural Relighting method can handle difficult scenes.
- The NeRF model struggles to capture fine-scale geometrical details.
- A method for relighting neural radiance fields with shadow and highlight hints is proposed.
- A relightable radiance MLP evaluates view and lighting dependent light transport.
- The proposed method outperforms other techniques such as IRON and Neural Radiance Transfer Fields.
Summaries
22 word summary
This paper presents a new neural implicit radiance representation for free viewpoint relighting, overcoming limitations of previous methods in handling challenging effects.
43 word summary
This paper introduces a new neural implicit radiance representation for free viewpoint relighting. It addresses the limitations of previous methods in handling challenging effects like ill-defined shapes, translucent materials, and specular materials. The proposed method incorporates shadow and highlight hints to improve the
461 word summary
This paper presents a novel neural implicit radiance representation for free viewpoint relighting. Instead of disentangling different light transport components, the representation models both local and global light transport at each point using a multi-layer perceptron. The network incorporates shadow and
Methods for relighting scenes with challenging effects like ill-defined shapes, translucent materials, and specular materials are limited. Previous methods have focused on diffuse scenes under simplified lighting models or require a large number of structured photographs. The Deferred Neural Relighting method can handle
This excerpt discusses different methods and challenges in inverse rendering, specifically focusing on the limitations and improvements of the NeRF model. The NeRF model uses voxel grids to represent objects, but this approach is memory intensive and struggles to capture fine-scale geometrical details
This paper proposes a method for relighting neural radiance fields with shadow and highlight hints. Unlike previous approaches that solely rely on an MLP to model high frequency light transport effects, this method provides shadow and highlight hints to the radiance network and allows the
We introduce a relightable radiance MLP that evaluates the view and lighting dependent light transport at each volumetric position. The radiance MLP takes input from the density MLP, SDF-normal, position, view direction, and point light position to output
The scene is placed on a checkerboard pattern to aid camera calibration. The primary camera used is a Sony A7II, and the secondary camera is an iPhone 13 Pro. The acquisition process involves capturing a video sequence from each camera and randomly selecting
The document discusses a neural implicit relighting representation for modeling scenes with different lighting conditions. It compares the proposed method to other techniques such as IRON and Neural Radiance Transfer Fields. The results show that the proposed method outperforms these techniques in terms
The paper discusses a novel neural implicit radiance representation for relighting scenes from a small set of photographs. The representation includes two MLPs: one for modeling the SDF and another for modeling the local and indirect radiance. The inclusion of shadow and
This document cites several papers and articles related to the topic of relighting neural radiance fields. The cited works cover a range of techniques and approaches, including free-viewpoint relighting from unstructured photographs, outdoor single-image relighting with cast shadows,
This document is a list of references to various papers and studies related to relighting techniques in computer graphics. The references include papers from conferences such as CVPR and ECCV, as well as papers from ACM Transactions on Graphics. The topics covered in these
This document is a summary of the paper titled "Relighting Neural Radiance Fields with Shadow and Highlight Hints." The authors present a method for relighting neural radiance fields using shadow and highlight hints. They reference several related works in the field,