Image de couverture de livre

Sharpening Neural Implicit Functions with Frequency Consolidation Priors

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Chao, Liu, Yu-Shen, Han, Zhizhong
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
par: Chen, Chao, et autres
Publié: (2024)

Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
par: Hu, Pengchong, et autres
Publié: (2023)

Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
par: Zhou, Junsheng, et autres
Publié: (2024)

Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
par: Zhang, Wenyuan, et autres
Publié: (2024)

3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction
par: Noda, Takeshi, et autres
Publié: (2026)

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
par: Chen, Chao, et autres
Publié: (2024)

SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies
par: Han, Liang, et autres
Publié: (2025)

VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
par: Zhang, Wenyuan, et autres
Publié: (2024)

MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
par: Zhang, Wenyuan, et autres
Publié: (2025)

GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting
par: Li, Shujuan, et autres
Publié: (2025)

MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
par: Noda, Takeshi, et autres
Publié: (2024)

Encoding Semantic Priors into the Weights of Implicit Neural Representation
par: Cai, Zhicheng, et autres
Publié: (2024)

Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
par: Noda, Takeshi, et autres
Publié: (2025)

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
par: Zhang, Wenyuan, et autres
Publié: (2025)

Frequency-Adaptive Pan-Sharpening with Mixture of Experts
par: He, Xuanhua, et autres
Publié: (2024)

Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
par: Zhou, Junsheng, et autres
Publié: (2024)

FreqPhys: Repurposing Implicit Physiological Frequency Prior for Robust Remote Photoplethysmography
par: Qian, Wei, et autres
Publié: (2026)

Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
par: Wu, Yulun, et autres
Publié: (2025)

Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
par: Stone, Rebecca S, et autres
Publié: (2023)

Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
par: Han, Liang, et autres
Publié: (2024)

Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
par: Li, Shengtao, et autres
Publié: (2024)

VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors
par: Tang, Jimin, et autres
Publié: (2026)

Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters
par: Yu, Chang, et autres
Publié: (2025)

Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details
par: Bai, Qiang, et autres
Publié: (2025)

Query Quantized Neural SLAM
par: Jiang, Sijia, et autres
Publié: (2024)

CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization
par: Zhou, Junsheng, et autres
Publié: (2022)

PSDF: Prior-Driven Neural Implicit Surface Learning for Multi-view Reconstruction
par: Su, Wanjuan, et autres
Publié: (2024)

Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
par: Tian, Ye, et autres
Publié: (2025)

Speeding Up the Learning of 3D Gaussians with Much Shorter Gaussian Lists
par: Liu, Jiaqi, et autres
Publié: (2026)

Geometric Prior-Guided Neural Implicit Surface Reconstruction in the Wild
par: Xiang, Lintao, et autres
Publié: (2025)

Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment
par: He, Feng, et autres
Publié: (2024)

GIFS: Neural Implicit Function for General Shape Representation
par: Ye, Jianglong, et autres
Publié: (2022)

Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features
par: Ke, Junbo, et autres
Publié: (2026)

FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss
par: Wei, Meiyi, et autres
Publié: (2024)

PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
par: Ding, Yuhan, et autres
Publié: (2023)

FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations
par: Sawada, Naoko, et autres
Publié: (2025)

Exploring Kernel Transformations for Implicit Neural Representations
par: Zheng, Sheng, et autres
Publié: (2025)

Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
par: Jiang, Sijia, et autres
Publié: (2024)

Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
par: Shen, Xuelin, et autres
Publié: (2025)

SGAD-SLAM: Splatting Gaussians at Adjusted Depth for Better Radiance Fields in RGBD SLAM
par: Hu, Pengchong, et autres
Publié: (2026)