Cover Image

MDNF: Multi-Diffusion-Nets for Neural Fields on Meshes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rimon, Avigail Cohen, Shnitzer, Tal, Chen, Mirela Ben
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FRIDU: Functional Map Refinement with Guided Image Diffusion
by: Rimon, Avigail Cohen, et al.
Published: (2025)

SpectralSplats: Robust Differentiable Tracking via Spectral Moment Supervision
by: Rimon, Avigail Cohen, et al.
Published: (2026)

CageNet: A Meta-Framework for Learning on Wild Meshes
by: Edelstein, Michal, et al.
Published: (2025)

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

Random Walks in Self-supervised Learning for Triangular Meshes
by: Yefet, Gal, et al.
Published: (2025)

Single Mesh Diffusion Models with Field Latents for Texture Generation
by: Mitchel, Thomas W., et al.
Published: (2023)

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI
by: Li, Zhiyuan, et al.
Published: (2024)

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation
by: Li, Haoran, et al.
Published: (2026)

Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation
by: Edelstein, Yiftach, et al.
Published: (2024)

FlashTex: Fast Relightable Mesh Texturing with LightControlNet
by: Deng, Kangle, et al.
Published: (2024)

XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding
by: Chen, Dian, et al.
Published: (2025)

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
by: Shen, Xing, et al.
Published: (2023)

Event Driven Clustering Algorithm
by: Ben-Ezra, David El-Chai, et al.
Published: (2026)

Multi-conditioned Graph Diffusion for Neural Architecture Search
by: Asthana, Rohan, et al.
Published: (2024)

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

Network Inversion of Convolutional Neural Nets
by: Suhail, Pirzada, et al.
Published: (2024)

Geometric Neural Process Fields
by: Yin, Wenzhe, et al.
Published: (2025)

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
by: Fischer, Tom, et al.
Published: (2024)

Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
by: Favero, Gian Mario, et al.
Published: (2025)

Flow Matching and Diffusion Models via PointNet for Generating Fluid Fields on Irregular Geometries
by: Kashefi, Ali
Published: (2026)

An Attribute-based Method for Video Anomaly Detection
by: Reiss, Tal, et al.
Published: (2022)

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles
by: Daniel, Tal, et al.
Published: (2023)

Neural Network Diffusion
by: Wang, Kai, et al.
Published: (2024)

Demystifying Variational Diffusion Models
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
by: Zhang, Chenshuang, et al.
Published: (2024)

RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
by: Zeng, Chong, et al.
Published: (2025)

Flows and Diffusions on the Neural Manifold
by: Saragih, Daniel, et al.
Published: (2025)

SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models
by: Chai, Weilong, et al.
Published: (2023)

Visual Diffusion Models are Geometric Solvers
by: Goren, Nir, et al.
Published: (2025)

Preconditioners for the Stochastic Training of Neural Fields
by: Chng, Shin-Fang, et al.
Published: (2024)

OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
by: Valencia, Kevin, et al.
Published: (2025)

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
by: Wang, Zhengyi, et al.
Published: (2024)

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

Taming Latent Diffusion Model for Neural Radiance Field Inpainting
by: Lin, Chieh Hubert, et al.
Published: (2024)

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
by: Liu, Zhen, et al.
Published: (2024)

AnomalousNet: A Hybrid Approach with Attention U-Nets and Change Point Detection for Accurate Characterization of Anomalous Diffusion in Video Data
by: Ahsini, Yusef, et al.
Published: (2025)

Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion
by: Haramati, Dan, et al.
Published: (2026)

Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Prediction
by: Chen, Long, et al.
Published: (2025)

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
by: Shen, Tianchang, et al.
Published: (2024)

Augmented Equivariant Mesh Networks for Anatomical Segmentation
by: Saragih, Daniel
Published: (2026)