Copertina

Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Feng, Haoan, Xu, Xin, De Floriani, Leila
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis
di: Feng, Haoan, et al.
Pubblicazione: (2024)

ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation
di: Feng, Haoan, et al.
Pubblicazione: (2026)

SASNet: Spatially-Adaptive Sinusoidal Networks for INRs
di: Feng, Haoan, et al.
Pubblicazione: (2025)

Toward Generalizable Whole Brain Representations with High-Resolution Light-Sheet Data
di: Kim, Minyoung E., et al.
Pubblicazione: (2026)

Amortized Posterior Sampling with Diffusion Prior Distillation
di: Mammadov, Abbas, et al.
Pubblicazione: (2024)

Consistent Amortized Clustering via Generative Flow Networks
di: Chelly, Irit, et al.
Pubblicazione: (2025)

AmorLIP: Efficient Language-Image Pretraining via Amortization
di: Sun, Haotian, et al.
Pubblicazione: (2025)

Amortizing intractable inference in diffusion models for vision, language, and control
di: Venkatraman, Siddarth, et al.
Pubblicazione: (2024)

Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
di: Eyring, Luca, et al.
Pubblicazione: (2025)

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
di: Heffring, Mabel, et al.
Pubblicazione: (2026)

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
di: Wu, Chengfeng, et al.
Pubblicazione: (2026)

Rethinking Data Input for Point Cloud Upsampling
di: Zhang, Tongxu
Pubblicazione: (2024)

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
di: Shekarforoush, Shayan, et al.
Pubblicazione: (2024)

MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data
di: Borne--Pons, Paul, et al.
Pubblicazione: (2025)

Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data
di: Qayyum, Alif Bin Abdul, et al.
Pubblicazione: (2024)

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
di: Shao, Shitong, et al.
Pubblicazione: (2024)

Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
di: Pereg, Deborah, et al.
Pubblicazione: (2022)

Cross-Resolution Attention Network for High-Resolution PM2.5 Prediction
di: Kheder, Ammar, et al.
Pubblicazione: (2026)

Rethinking Positive Pairs in Contrastive Learning
di: Wu, Jiantao, et al.
Pubblicazione: (2024)

StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction
di: Shelare, Maitreya, et al.
Pubblicazione: (2024)

NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks
di: Kim, Doyub, et al.
Pubblicazione: (2022)

Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
di: Dionelis, Nikolaos, et al.
Pubblicazione: (2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
di: Yang, Ling, et al.
Pubblicazione: (2023)

Towards Croppable Implicit Neural Representations
di: Ashkenazi, Maor, et al.
Pubblicazione: (2024)

Nonparametric Teaching of Implicit Neural Representations
di: Zhang, Chen, et al.
Pubblicazione: (2024)

MeshFeat: Multi-Resolution Features for Neural Fields on Meshes
di: Mahajan, Mihir, et al.
Pubblicazione: (2024)

Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations
di: Doran, Gary, et al.
Pubblicazione: (2024)

High-Resolution Image Reconstruction with Unsupervised Learning and Noisy Data Applied to Ion-Beam Dynamics for Particle Accelerators
di: Osswald, Francis, et al.
Pubblicazione: (2026)

Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields
di: Zorek, Sophia, et al.
Pubblicazione: (2026)

Evaluating and Preserving High-level Fidelity in Super-Resolution
di: Rocafort, Josep M., et al.
Pubblicazione: (2025)

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
di: Vasconcelos, Cristina N., et al.
Pubblicazione: (2024)

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
di: Lu, Aojun, et al.
Pubblicazione: (2025)

StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images
di: Zawar, Rushikesh, et al.
Pubblicazione: (2024)

Amortized Equation Discovery in Hybrid Dynamical Systems
di: Liu, Yongtuo, et al.
Pubblicazione: (2024)

Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI
di: Lao, Guoyan, et al.
Pubblicazione: (2024)

MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations
di: Son, Hyunsoo, et al.
Pubblicazione: (2025)

Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies
di: Vishen, Shrey, et al.
Pubblicazione: (2024)

SINR: Sparsity Driven Compressed Implicit Neural Representations
di: Jayasundara, Dhananjaya, et al.
Pubblicazione: (2025)

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
di: Wang, Lei, et al.
Pubblicazione: (2024)

Learning Continuous Face Representation with Explicit Functions
di: Zhang, Liping, et al.
Pubblicazione: (2021)