Cover Image

Nested Diffusion Models Using Hierarchical Latent Priors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiao, Jiang, Ruoxi, Willett, Rebecca, Maire, Michael
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

Residual Connections Harm Generative Representation Learning
by: Zhang, Xiao, et al.
Published: (2024)

Latent Intrinsics Emerge from Training to Relight
by: Zhang, Xiao, et al.
Published: (2024)

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion
by: Yue, Zhengrong, et al.
Published: (2026)

Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
by: Zhang, Xiao, et al.
Published: (2023)

Blind Inversion using Latent Diffusion Priors
by: Bai, Weimin, et al.
Published: (2024)

Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining
by: Yu, Zhaocheng, et al.
Published: (2025)

DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model
by: Jia, Peijin, et al.
Published: (2024)

Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
by: Zhou, Yifan, et al.
Published: (2025)

SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
by: Sun, Zhaoyang, et al.
Published: (2024)

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration
by: Tu, Yanjie, et al.
Published: (2026)

Diffusion Models with Deterministic Normalizing Flow Priors
by: Zand, Mohsen, et al.
Published: (2023)

Learning Latent Space Hierarchical EBM Diffusion Models
by: Cui, Jiali, et al.
Published: (2024)

Are Conditional Latent Diffusion Models Effective for Image Restoration?
by: Yuan, Yunchen, et al.
Published: (2024)

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

Multimodal Latent Reasoning via Hierarchical Visual Cues Injection
by: Zhang, Yiming, et al.
Published: (2026)

VegeDiff: Latent Diffusion Model for Geospatial Vegetation Forecasting
by: Zhao, Sijie, et al.
Published: (2024)

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
by: Chen, Haowei, et al.
Published: (2025)

Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion
by: Yuan, Xin, et al.
Published: (2024)

Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter Learning
by: Zhao, Yumiao, et al.
Published: (2025)

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration
by: He, Chunming, et al.
Published: (2025)

Residual Prior Diffusion: A Probabilistic Framework Integrating Coarse Latent Priors with Diffusion Models
by: Kutsuna, Takuro
Published: (2025)

Using Diffusion Priors for Video Amodal Segmentation
by: Chen, Kaihua, et al.
Published: (2024)

Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
by: Li, Zhiyuan, et al.
Published: (2024)

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge
by: Puglisi, Lemuel, et al.
Published: (2024)

Decoupling Complexity from Scale in Latent Diffusion Model
by: Zhong, Tianxiong, 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)

Diffusion As Self-Distillation: End-to-End Latent Diffusion In One Model
by: Wang, Xiyuan, et al.
Published: (2025)

AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
by: Min, Ruibin, et al.
Published: (2026)

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
by: Gu, Jiatao, et al.
Published: (2024)

LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
by: Jiang, Hai, et al.
Published: (2024)

Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution
by: Xiao, Jiahua, et al.
Published: (2024)

FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
by: Wang, Chenhui, et al.
Published: (2024)

Kidney Cancer Detection Using 3D-Based Latent Diffusion Models
by: Dusseljee, Jen, et al.
Published: (2026)

Revealing Subtle Phenotypes in Small Microscopy Datasets Using Latent Diffusion Models
by: Bourou, Anis, et al.
Published: (2025)

Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors
by: Wang, Ruicheng, et al.
Published: (2024)

Stronger Semantic Encoders Can Harm Relighting Performance: Probing Visual Priors via Augmented Latent Intrinsics
by: Xing, Xiaoyan, et al.
Published: (2026)

LatentCRF: Continuous CRF for Efficient Latent Diffusion
by: Ranasinghe, Kanchana, et al.
Published: (2024)

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
by: Li, Junhui, et al.
Published: (2024)

GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors
by: Zhang, Qilin, et al.
Published: (2026)

FSP-Diff: Full-Spectrum Prior-Enhanced DualDomain Latent Diffusion for Ultra-Low-Dose Spectral CT Reconstruction
by: Peng, Peng, et al.
Published: (2026)