Cover Image

LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chang, Jinho, Ye, Jong Chul
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model
by: Chang, Jinho, et al.
Published: (2022)

Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts
by: Chang, Jinho, et al.
Published: (2024)

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
by: Lee, Jeongjae, et al.
Published: (2026)

PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
by: Lee, Suhyeon, et al.
Published: (2025)

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)

Regularization by Texts for Latent Diffusion Inverse Solvers
by: Kim, Jeongsol, et al.
Published: (2023)

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
by: Jeong, Hyeonho, et al.
Published: (2023)

Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
by: Kim, Jaemin, et al.
Published: (2026)

ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF
by: Park, Jangho, et al.
Published: (2023)

Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
by: Nam, Hyelin, et al.
Published: (2023)

Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation
by: Kim, Jeongsol, et al.
Published: (2024)

Solving Video Inverse Problems Using Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)

Self-Guided Generation of Minority Samples Using Diffusion Models
by: Um, Soobin, et al.
Published: (2024)

Aligning Text to Image in Diffusion Models is Easier Than You Think
by: Lee, Jaa-Yeon, et al.
Published: (2025)

Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
by: Lee, Jaa-Yeon, et al.
Published: (2026)

Exploring Molecule Generation Using Latent Space Graph Diffusion
by: Pombala, Prashanth, et al.
Published: (2025)

Don't Play Favorites: Minority Guidance for Diffusion Models
by: Um, Soobin, et al.
Published: (2023)

FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
by: Jin, Seonghyun, et al.
Published: (2026)

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
by: Lee, Suhyeon, et al.
Published: (2023)

Minority-Focused Text-to-Image Generation via Prompt Optimization
by: Um, Soobin, et al.
Published: (2024)

Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
by: Na, Byeonghu, et al.
Published: (2025)

Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
by: Kwon, Taesung, et al.
Published: (2026)

Improving Diffusion Models for Inverse Problems using Manifold Constraints
by: Chung, Hyungjin, et al.
Published: (2022)

PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
by: Lee, Jeongjae, et al.
Published: (2025)

Guided Diffusion Sampling on Function Spaces with Applications to PDEs
by: Yao, Jiachen, et al.
Published: (2025)

DreamMakeup: Face Makeup Customization using Latent Diffusion Models
by: Park, Geon Yeong, et al.
Published: (2025)

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
by: Um, Soobin, et al.
Published: (2025)

Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
by: Na, Byeonghu, et al.
Published: (2025)

Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
by: Park, Geon Yeong, et al.
Published: (2024)

VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
by: Lee, Dohun, et al.
Published: (2024)

Latent Diffusion : Multi-Dimension Stable Diffusion Latent Space Explorer
by: Zhong, Zhihua, et al.
Published: (2025)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024)

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2023)

Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics
by: Santamaria-Valenzuela, Inmaculada, et al.
Published: (2025)

Diverse Text-to-Image Generation via Contrastive Noise Optimization
by: Kim, Byungjun, et al.
Published: (2025)

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
by: Yang, Serin, et al.
Published: (2024)

Understanding and Accelerating the Training of Masked Diffusion Language Models
by: Hong, Chunsan, et al.
Published: (2026)

InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem
by: Hong, Yeobin, et al.
Published: (2025)

Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation
by: Chang, Hun, et al.
Published: (2026)

Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024)