End-to-end view synthesis via nerf attention
In this paper, we present a simple seq2seq formulation for view synthesis where we take a
set of ray points as input and output colors corresponding to the rays. Directly applying a …
set of ray points as input and output colors corresponding to the rays. Directly applying a …
Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Abstract Neural Radiance Fields (NeRF) have emerged as a powerful representation for the
task of novel view synthesis due to their simplicity and state-of-the-art performance. Though …
task of novel view synthesis due to their simplicity and state-of-the-art performance. Though …
Efficient view synthesis with neural radiance distribution field
Abstract Recent work on Neural Radiance Fields (NeRF) has demonstrated significant
advances in high-quality view synthesis. A major limitation of NeRF is its low rendering …
advances in high-quality view synthesis. A major limitation of NeRF is its low rendering …
CP‐NeRF: Conditionally Parameterized Neural Radiance Fields for Cross‐scene Novel View Synthesis
Neural radiance fields (NeRF) have demonstrated a promising research direction for novel
view synthesis. However, the existing approaches either require per‐scene optimization that …
view synthesis. However, the existing approaches either require per‐scene optimization that …
Neural rays for occlusion-aware image-based rendering
We present a new neural representation, called Neural Ray (NeuRay), for the novel view
synthesis task. Recent works construct radiance fields from image features of input views to …
synthesis task. Recent works construct radiance fields from image features of input views to …
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Recent research explosion on Neural Radiance Field (NeRF) shows the encouraging
potential to represent complex scenes with neural networks. One major drawback of NeRF is …
potential to represent complex scenes with neural networks. One major drawback of NeRF is …
An Improved Novel View Synthesis Approach Based on Feature Fusion and Channel Attention
Single image novel view synthesis allows the generation of target images with different
views from a single input image. Pixel generation methods are one of the main approaches …
views from a single input image. Pixel generation methods are one of the main approaches …
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 …
[HTML][HTML] Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion
B Wang, D Zhang, Y Su, H Zhang - Sensors, 2024 - mdpi.com
Neural radiance fields (NeRFs) leverage a neural representation to encode scenes,
obtaining photorealistic rendering of novel views. However, NeRF has notable limitations. A …
obtaining photorealistic rendering of novel views. However, NeRF has notable limitations. A …