Cover Image

Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Cheng, Xiao, Zhenyu, Liu, Chutao, Gu, Yuantao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
by: Zhang, Jiawei, et al.
Published: (2024)

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models
by: Li, Musheng, et al.
Published: (2026)

Low-Resource Guidance for Controllable Latent Audio Diffusion
by: Novack, Zachary, et al.
Published: (2026)

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
by: Zhang, Zhenwei, et al.
Published: (2023)

LRT-Diffusion: Calibrated Risk-Aware Guidance for Diffusion Policies
by: Sun, Ximan, et al.
Published: (2025)

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
by: Wang, Xu, et al.
Published: (2025)

Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
by: Jin, Cheng, et al.
Published: (2025)

Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
by: Ma, Xin, et al.
Published: (2024)

Understanding Adam Requires Better Rotation Dependent Assumptions
by: Zhang, Tianyue H., et al.
Published: (2024)

Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints
by: Okita, Tsuyoshi
Published: (2026)

Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
by: Xu, Hefei, et al.
Published: (2025)

RLPR: Extrapolating RLVR to General Domains without Verifiers
by: Yu, Tianyu, et al.
Published: (2025)

Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions
by: Choi, Jinyoung, et al.
Published: (2025)

Efficient Controllable Diffusion via Optimal Classifier Guidance
by: Oertell, Owen, et al.
Published: (2025)

GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance
by: Jin, Luozhijie, et al.
Published: (2025)

EEGDM: Learning EEG Representation with Latent Diffusion Model
by: Wang, Shaocong, et al.
Published: (2025)

Latent Laplace Diffusion for Irregular Multivariate Time Series
by: You, Zinuo, et al.
Published: (2026)

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
by: Zheng, Yinan, et al.
Published: (2025)

Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
by: Shrestha, Sagar, et al.
Published: (2024)

High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness
by: Brient, Edwyn, et al.
Published: (2026)

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
by: Xue, Ke, et al.
Published: (2024)

Discriminator Guidance for Autoregressive Diffusion Models
by: Kelvinius, Filip Ekström, et al.
Published: (2023)

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

Variance-Reduction Guidance: Sampling Trajectory Optimization for Diffusion Models
by: Xu, Shifeng, et al.
Published: (2025)

TFG: Unified Training-Free Guidance for Diffusion Models
by: Ye, Haotian, et al.
Published: (2024)

A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler
by: Jin, Cheng, et al.
Published: (2025)

Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
by: Si, Qi, et al.
Published: (2026)

TabularMath: Evaluating Computational Extrapolation in Tabular Learning via Program-Verified Synthesis
by: Cheng, Zerui, et al.
Published: (2026)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
by: Mao, Liyuan, et al.
Published: (2024)

LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
by: Yan, Xueming, et al.
Published: (2025)

AlphaFolding: 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
by: Cheng, Kaihui, et al.
Published: (2024)

Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
by: Zhang, Zishen, et al.
Published: (2025)

Chemistry-Inspired Diffusion with Non-Differentiable Guidance
by: Shen, Yuchen, et al.
Published: (2024)

The Extrapolation Power of Implicit Models
by: Decugis, Juliette, et al.
Published: (2024)

Identifying Representations for Intervention Extrapolation
by: Saengkyongam, Sorawit, et al.
Published: (2023)

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

Constraint Decoupled Latent Diffusion for Protein Backmapping
by: Han, Xu, et al.
Published: (2024)

See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
by: Zhuang, Jiaxin, et al.
Published: (2024)

More Than One Teacher: Adaptive Multi-Guidance Policy Optimization for Diverse Exploration
by: Yuan, Xiaoyang, et al.
Published: (2025)