Flipnerf: Flipped reflection rays for few-shot novel view synthesis
Abstract Neural Radiance Field (NeRF) has been a mainstream in novel view synthesis with
its remarkable quality of rendered images and simple architecture. Although NeRF has been …
its remarkable quality of rendered images and simple architecture. Although NeRF has been …
Wavenerf: Wavelet-based generalizable neural radiance fields
Abstract Neural Radiance Field (NeRF) has shown impressive performance in novel view
synthesis via implicit scene representation. However, it usually suffers from poor scalability …
synthesis via implicit scene representation. However, it usually suffers from poor scalability …
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 …
Depth assisted novel view synthesis using few images
Q Li, R Fu, F Tang - Image and Vision Computing, 2024 - Elsevier
In this paper, we introduce a novel approach to improve the performance of Neural
Radiance Fields (NeRF) from limited input views. NeRF has exhibited impressive …
Radiance Fields (NeRF) from limited input views. NeRF has exhibited impressive …
Vision transformer for nerf-based view synthesis from a single input image
Although neural radiance fields (NeRF) have shown impressive advances in novel view
synthesis, most methods require multiple input images of the same scene with accurate …
synthesis, most methods require multiple input images of the same scene with accurate …
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Neural Radiance Fields (NeRF) have garnered remarkable success in novel view synthesis.
Nonetheless, the task of generating high-quality images for novel views persists as a critical …
Nonetheless, the task of generating high-quality images for novel views persists as a critical …
[PDF][PDF] Re-Nerfing: Enforcing Geometric Constraints on Neural Radiance Fields through Novel Views Synthesis
Abstract Neural Radiance Fields (NeRFs) have shown remarkable novel view synthesis
capabilities even in large-scale, unbounded scenes, albeit requiring hundreds of views or …
capabilities even in large-scale, unbounded scenes, albeit requiring hundreds of views or …
Structure-aware nerf without posed camera via epipolar constraint
S Chen, Y Zhang, Y Xu, B Zou - arXiv preprint arXiv:2210.00183, 2022 - arxiv.org
The neural radiance field (NeRF) for realistic novel view synthesis requires camera poses to
be pre-acquired by a structure-from-motion (SfM) approach. This two-stage strategy is not …
be pre-acquired by a structure-from-motion (SfM) approach. This two-stage strategy is not …
Structnerf: Neural radiance fields for indoor scenes with structural hints
Neural Radiance Fields (NeRF) achieve photo-realistic view synthesis with densely
captured input images. However, the geometry of NeRF is extremely under-constrained …
captured input images. However, the geometry of NeRF is extremely under-constrained …
ProLiF: Progressively-connected Light Field network for efficient view synthesis
This paper presents a simple yet practical network architecture, ProLiF (Progressively-
connected Light Field network), for the efficient differentiable view synthesis of complex …
connected Light Field network), for the efficient differentiable view synthesis of complex …