Delicate textured mesh recovery from nerf via adaptive surface refinement
Abstract Neural Radiance Fields (NeRF) have constituted a remarkable breakthrough in
image-based 3D reconstruction. However, their implicit volumetric representations differ …
image-based 3D reconstruction. However, their implicit volumetric representations differ …
Learning a more continuous zero level set in unsigned distance fields through level set projection
Latest methods represent shapes with open surfaces using unsigned distance functions
(UDFs). They train neural networks to learn UDFs and reconstruct surfaces with the …
(UDFs). They train neural networks to learn UDFs and reconstruct surfaces with the …
Towards better gradient consistency for neural signed distance functions via level set alignment
Neural signed distance functions (SDFs) have shown remarkable capability in representing
geometry with details. However, without signed distance supervision, it is still a challenge to …
geometry with details. However, without signed distance supervision, it is still a challenge to …
Neat: Learning neural implicit surfaces with arbitrary topologies from multi-view images
Recent progress in neural implicit functions has set new state-of-the-art in reconstructing
high-fidelity 3D shapes from a collection of images. However, these approaches are limited …
high-fidelity 3D shapes from a collection of images. However, these approaches are limited …
Neudf: Leaning neural unsigned distance fields with volume rendering
Multi-view shape reconstruction has achieved impressive progresses thanks to the latest
advances in neural implicit surface rendering. However, existing methods based on signed …
advances in neural implicit surface rendering. However, existing methods based on signed …
RGB camera-based monocular stereo vision applied in plant phenotype: A survey
H Yin, S Luo, J Tang, J Hua - Computers and Electronics in Agriculture, 2024 - Elsevier
Background The breeding of plants with superior traits and the improvement of cultivation
means are two essential ways to achieve yield growth and quality promotion. Phenotype …
means are two essential ways to achieve yield growth and quality promotion. Phenotype …
Unsupervised inference of signed distance functions from single sparse point clouds without learning priors
It is vital to infer signed distance functions (SDFs) from 3D point clouds. The latest methods
rely on generalizing the priors learned from large scale supervision. However, the learned …
rely on generalizing the priors learned from large scale supervision. However, the learned …
Learning unsigned distance functions from multi-view images with volume rendering priors
Unsigned distance functions (UDFs) have been a vital representation for open surfaces.
With different differentiable renderers, current methods are able to train neural networks to …
With different differentiable renderers, current methods are able to train neural networks to …
Digging into depth priors for outdoor neural radiance fields
Neural Radiance Fields (NeRFs) have demonstrated impressive performance in vision and
graphics tasks, such as novel view synthesis and immersive reality. However, the shape …
graphics tasks, such as novel view synthesis and immersive reality. However, the shape …
Nu-mcc: Multiview compressive coding with neighborhood decoder and repulsive udf
Remarkable progress has been made in 3D reconstruction from single-view RGB-D inputs.
MCC is the current state-of-the-art method in this field, which achieves unprecedented …
MCC is the current state-of-the-art method in this field, which achieves unprecedented …