Latent Space Is Not Flat: Rethinking Latent Structure for 3D Medical Image Synthesis

arXiv:2609.32794 · cs.CV · Submitted 2026-09-26 · Read on arXiv

cs.CV

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/redcake4/LDM

Terminology

• Flow Matching — 5× in this paper · explained in 7 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Decode — 4× in this paper · explained in 2 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Latent Structure Flow — 2× in this paper
• Anisotropy — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation
• CrossFlow: One-Step Generation Across Latent and Pixel Spaces
• Aligning Latent Geometry for Spherical Flow Matching in Image Generation
• The Learnability Gap in Medical Latent Diffusion
• Tokenizer-Generator Coupling in Medical Image Generation
• cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis
• The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
• Med3D: Transfer Learning for 3D Medical Image Analysis

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