Cover Image

DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Bowen, Hu, Jason, Luo, Zhaoxu, Fessler, Jeffrey A., Shen, Liyue
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Local Patches Meet Global Context: Scalable 3D Diffusion Priors for Computed Tomography Reconstruction
by: Yang, Taewon, et al.
Published: (2025)

Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
by: Hu, Jason, et al.
Published: (2024)

Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems
by: Hu, Jason, et al.
Published: (2024)

SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models
by: Luo, Zhaoxu, et al.
Published: (2024)

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
by: Song, Bowen, et al.
Published: (2025)

FreeBlend: Advancing Concept Blending with Staged Feedback-Driven Interpolation Diffusion
by: Zhou, Yufan, et al.
Published: (2025)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
by: Xu, Xiaojian, et al.
Published: (2024)

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors
by: Jiang, Chenru, et al.
Published: (2025)

Gaussian Blending: Rethinking Alpha Blending in 3D Gaussian Splatting
by: Koo, Junseo, et al.
Published: (2025)

Blending Concepts with Text-to-Image Diffusion Models
by: Olearo, Lorenzo, et al.
Published: (2025)

Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction
by: Dey, Sreemanti, et al.
Published: (2024)

Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction
by: Hong, Tao, et al.
Published: (2024)

HAD: Hallucination-Aware Diffusion Priors for 3D Reconstruction
by: Liu, Xi, et al.
Published: (2026)

Affordance-Guided Diffusion Prior for 3D Hand Reconstruction
by: Suzuki, Naru, et al.
Published: (2025)

Deep Image Prior for Computed Tomography Reconstruction
by: Arridge, Simon, et al.
Published: (2026)

Antithetic Noise in Diffusion Models
by: Jia, Jing, et al.
Published: (2025)

3D Printable Antimicrobial Polymer Blend
by: Miché Daniels, et al.
Published: (2024)

Incomplete Data Multi-Source Static Computed Tomography Reconstruction with Diffusion Priors and Implicit Neural Representation
by: Shen, Ziju, et al.
Published: (2025)

3D Priors-Guided Diffusion for Blind Face Restoration
by: Lu, Xiaobin, et al.
Published: (2024)

How to Blend Concepts in Diffusion Models
by: Olearo, Lorenzo, et al.
Published: (2024)

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing
by: Shuai, Zitao, et al.
Published: (2024)

NERD: Network-Regularized Diffusion Sampling For 3D Computed Tomography
by: Liang, Shijun, et al.
Published: (2025)

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation
by: Sadia, Rabeya Tus, et al.
Published: (2025)

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing
by: Shuai, Zitao, et al.
Published: (2024)

Limited-Angle Tomography Reconstruction via Projector Guided 3D Diffusion
by: Deng, Zhantao, et al.
Published: (2025)

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
by: Song, Bowen, et al.
Published: (2023)

Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
by: Alido, Jeffrey, et al.
Published: (2025)

Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
by: Vats, Vibhas, et al.
Published: (2025)

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
by: Anciukevičius, Titas, et al.
Published: (2022)

Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion
by: Wen, Hao, et al.
Published: (2024)

Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
by: Jia, Jing, et al.
Published: (2026)

TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models
by: Jin, Xin, et al.
Published: (2025)

TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models
by: Jin, Xin, et al.
Published: (2026)

Harnessing Diffusion-Yielded Score Priors for Image Restoration
by: Lin, Xinqi, et al.
Published: (2025)

GEMM-GS: Accelerating 3D Gaussian Splatting on Tensor Cores with GEMM-Compatible Blending
by: Li, Haomin, et al.
Published: (2026)

Blending Data-Driven Priors in Dynamic Games
by: Lidard, Justin, et al.
Published: (2024)

MVPainter: Accurate and Detailed 3D Texture Generation via Multi-View Diffusion with Geometric Control
by: Shao, Mingqi, et al.
Published: (2025)

EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Prior
by: Xiang, Xin, et al.
Published: (2024)

Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography
by: Han, Shuo, et al.
Published: (2024)

Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
by: Cheng, Min, et al.
Published: (2025)