Imagen de Portada

Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Semin, Cha, Yeonwoo, Yoo, Jaehoon, Hong, Seunghoon
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Simulation-Free Training of Neural ODEs on Paired Data
por: Kim, Semin, et al.
Publicado: (2024)

FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows
por: Cha, Yeonwoo, et al.
Publicado: (2025)

Training-Free Refinement of Flow Matching with Divergence-based Sampling
por: Cha, Yeonwoo, et al.
Publicado: (2026)

ReDi: Rectified Discrete Flow
por: Yoo, Jaehoon, et al.
Publicado: (2025)

Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
por: Jung, Whie, et al.
Publicado: (2024)

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
por: Kim, Jinwoo, et al.
Publicado: (2023)

ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
por: Koh, Sungho, et al.
Publicado: (2025)

Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models
por: Tong, Yunze, et al.
Publicado: (2025)

Infinite Mask Diffusion for Few-Step Distillation
por: Yoo, Jaehoon, et al.
Publicado: (2026)

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
por: Kim, Kyuyoung, et al.
Publicado: (2024)

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

Sequence Modeling with Spectral Mean Flows
por: Kim, Jinwoo, et al.
Publicado: (2025)

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding
por: Fan, Zezhong, et al.
Publicado: (2024)

Revisiting Weight Averaging for Model Merging
por: Choi, Jiho, et al.
Publicado: (2024)

Inverting Data Transformations via Diffusion Sampling
por: Kim, Jinwoo, et al.
Publicado: (2026)

Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
por: Lee, Justin, et al.
Publicado: (2025)

SummDiff: Generative Modeling of Video Summarization with Diffusion
por: Kim, Kwanseok, et al.
Publicado: (2025)

GeFL: Model-Agnostic Federated Learning with Generative Models
por: Kang, Honggu, et al.
Publicado: (2024)

Improved Bounds for Reward-Agnostic and Reward-Free Exploration
por: Ridel, Oran, et al.
Publicado: (2026)

Aligning Text-to-Image Diffusion Models with Reward Backpropagation
por: Prabhudesai, Mihir, et al.
Publicado: (2023)

HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
por: Kim, Donggyun, et al.
Publicado: (2025)

Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms
por: Wang, Heehwan, et al.
Publicado: (2024)

IPGO: Indirect Prompt Gradient Optimization for Parameter-Efficient Prompt-level Fine-Tuning on Text-to-Image Models
por: Ye, Jianping, et al.
Publicado: (2025)

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
por: Ganjdanesh, Alireza, et al.
Publicado: (2024)

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
por: Gumbsch, Christian, et al.
Publicado: (2026)

DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models
por: Kim, Sungnyun, et al.
Publicado: (2023)

Data Augmentation For Small Object using Fast AutoAugment
por: Yoon, DaeEun, et al.
Publicado: (2025)

Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection
por: Cha, Seohyeon, et al.
Publicado: (2025)

OID-PPO: Optimal Interior Design using Proximal Policy Optimization by Transforming Design Guidelines into Reward Functions
por: Yoon, Chanyoung, et al.
Publicado: (2025)

MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving
por: Lee, Jungi, et al.
Publicado: (2025)

Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
por: Hahm, Jaehoon, et al.
Publicado: (2024)

Test-time Prompt Refinement for Text-to-Image Models
por: Khan, Mohammad Abdul Hafeez, et al.
Publicado: (2025)

DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
por: Park, Dogyun, et al.
Publicado: (2024)

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
por: Cho, Seongwoong, et al.
Publicado: (2024)

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
por: Luo, Fan-Ming, et al.
Publicado: (2022)

Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods
por: Jang, Yeonwoo, et al.
Publicado: (2025)

Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts
por: Bui, Anh, et al.
Publicado: (2024)

Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies
por: Choi, Seokeon, et al.
Publicado: (2025)

R3: Robust Rubric-Agnostic Reward Models
por: Anugraha, David, et al.
Publicado: (2025)

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