Dreameditor: Text-driven 3d scene editing with neural fields
Neural fields have achieved impressive advancements in view synthesis and scene
reconstruction. However, editing these neural fields remains challenging due to the implicit …
reconstruction. However, editing these neural fields remains challenging due to the implicit …
Sked: Sketch-guided text-based 3d editing
Text-to-image diffusion models are gradually introduced into computer graphics, recently
enabling the development of Text-to-3D pipelines in an open domain. However, for …
enabling the development of Text-to-3D pipelines in an open domain. However, for …
Refsr-nerf: Towards high fidelity and super resolution view synthesis
Abstract We present Reference-guided Super-Resolution Neural Radiance Field (RefSR-
NeRF) that extends NeRF to super resolution and photorealistic novel view synthesis …
NeRF) that extends NeRF to super resolution and photorealistic novel view synthesis …
SeaThru-NeRF: Neural radiance fields in scattering media
Research on neural radiance fields (NeRFs) for novel view generation is exploding with new
models and extensions. However, a question that remains unanswered is what happens in …
models and extensions. However, a question that remains unanswered is what happens in …
Instance neural radiance field
This paper presents one of the first learning-based NeRF 3D instance segmentation
pipelines, dubbed as Instance Neural Radiance Field, or Instance-NeRF. Taking a NeRF …
pipelines, dubbed as Instance Neural Radiance Field, or Instance-NeRF. Taking a NeRF …
AligNeRF: High-fidelity neural radiance fields via alignment-aware training
Abstract Neural Radiance Fields (NeRFs) are a powerful representation for modeling a 3D
scene as a continuous function. Though NeRF is able to render complex 3D scenes with …
scene as a continuous function. Though NeRF is able to render complex 3D scenes with …
End-to-end rgb-d slam with multi-mlps dense neural implicit representations
An accurate and generalizable dense 3D reconstruction system has attracted much
attention. However, existing 3D dense reconstruction systems are constrained by pre …
attention. However, existing 3D dense reconstruction systems are constrained by pre …
4k-nerf: High fidelity neural radiance fields at ultra high resolutions
In this paper, we present a novel and effective framework, named 4K-NeRF, to pursue high
fidelity view synthesis on the challenging scenarios of ultra high resolutions, building on the …
fidelity view synthesis on the challenging scenarios of ultra high resolutions, building on the …
NeRFLix: High-quality neural view synthesis by learning a degradation-driven inter-viewpoint mixer
Neural radiance fields (NeRF) show great success in novel-view synthesis. However, in real-
world scenes, recovering high-quality details from the source images is still challenging for …
world scenes, recovering high-quality details from the source images is still challenging for …
Mitigating motion blur in neural radiance fields with events and frames
M Cannici, D Scaramuzza - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRFs) have shown great potential in novel view
synthesis. However they struggle to render sharp images when the data used for training is …
synthesis. However they struggle to render sharp images when the data used for training is …