Image de couverture de livre

Readout Guidance: Learning Control from Diffusion Features

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Luo, Grace, Darrell, Trevor, Wang, Oliver, Goldman, Dan B, Holynski, Aleksander
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
par: Luo, Grace, et autres
Publié: (2023)

Dual-Process Image Generation
par: Luo, Grace, et autres
Publié: (2025)

Constantly Improving Image Models Need Constantly Improving Benchmarks
par: Ge, Jiaxin, et autres
Publié: (2025)

Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
par: Wang, Yifan, et autres
Publié: (2024)

Vision-Language Models Create Cross-Modal Task Representations
par: Luo, Grace, et autres
Publié: (2024)

Video Interpolation with Diffusion Models
par: Jain, Siddhant, et autres
Publié: (2024)

GPS as a Control Signal for Image Generation
par: Feng, Chao, et autres
Publié: (2025)

Generative Image Dynamics
par: Li, Zhengqi, et autres
Publié: (2023)

Diffusion Models as Data Mining Tools
par: Siglidis, Ioannis, et autres
Publié: (2024)

Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos
par: Jin, Linyi, et autres
Publié: (2024)

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
par: Lian, Long, et autres
Publié: (2023)

CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models
par: Wu, Rundi, et autres
Publié: (2024)

Continuous 3D Perception Model with Persistent State
par: Wang, Qianqian, et autres
Publié: (2025)

How Animals Dance (When You're Not Looking)
par: Wang, Xiaojuan, et autres
Publié: (2025)

Disentangled 3D Scene Generation with Layout Learning
par: Epstein, Dave, et autres
Publié: (2024)

Vector Quantized Feature Fields for Fast 3D Semantic Lifting
par: Tang, George, et autres
Publié: (2025)

Manifold-Optimal Guidance: A Unified Riemannian Control View of Diffusion Guidance
par: Jia, Zexi, et autres
Publié: (2026)

CAT3D: Create Anything in 3D with Multi-View Diffusion Models
par: Gao, Ruiqi, et autres
Publié: (2024)

ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models
par: Shih, Meng-Li, et autres
Publié: (2024)

InstanceDiffusion: Instance-level Control for Image Generation
par: Wang, Xudong, et autres
Publié: (2024)

Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
par: Wang, Xiaojuan, et autres
Publié: (2024)

SafeCFG: Controlling Harmful Features with Dynamic Safe Guidance for Safe Generation
par: Pan, Jiadong, et autres
Publié: (2024)

Shape-Guided Diffusion with Inside-Outside Attention
par: Park, Dong Huk, et autres
Publié: (2022)

Pose Priors from Language Models
par: Subramanian, Sanjay, et autres
Publié: (2024)

MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos
par: Li, Zhengqi, et autres
Publié: (2024)

LLM-grounded Video Diffusion Models
par: Lian, Long, et autres
Publié: (2023)

Segment Anything without Supervision
par: Wang, XuDong, et autres
Publié: (2024)

UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
par: Yu, Junwei, et autres
Publié: (2025)

When Do We Not Need Larger Vision Models?
par: Shi, Baifeng, et autres
Publié: (2024)

Visual Lexicon: Rich Image Features in Language Space
par: Wang, XuDong, et autres
Publié: (2024)

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training?
par: Sun, Lingchen, et autres
Publié: (2026)

VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression
par: Sargent, Kyle, et autres
Publié: (2025)

Self-Guidance: Boosting Flow and Diffusion Generation on Their Own
par: Li, Tiancheng, et autres
Publié: (2024)

GlobalPaint: Spatiotemporal Coherent Video Outpainting with Global Feature Guidance
par: Pan, Yueming, et autres
Publié: (2026)

Directly Denoising Diffusion Models
par: Zhang, Dan, et autres
Publié: (2024)

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
par: Harrington, Anne, et autres
Publié: (2025)

Rethinking Diffusion Model-Based Video Super-Resolution: Leveraging Dense Guidance from Aligned Features
par: Xu, Jingyi, et autres
Publié: (2025)

Learning Cross-Spectral Point Features with Task-Oriented Training
par: Thomas, Mia, et autres
Publié: (2025)

Finding Visual Task Vectors
par: Hojel, Alberto, et autres
Publié: (2024)

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
par: Xie, Jianhao, et autres
Publié: (2025)