Cover Image

Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Williams, Joshua Nathaniel, Schwarzschild, Avi, He, Yutong, Kolter, J. Zico
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
by: He, Yutong, et al.
Published: (2024)

FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers
by: Williams, Joshua Nathaniel, et al.
Published: (2024)

Mean Flows for One-step Generative Modeling
by: Geng, Zhengyang, et al.
Published: (2025)

One-Step Diffusion Distillation via Deep Equilibrium Models
by: Geng, Zhengyang, et al.
Published: (2023)

Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
by: Dontas, Michail, et al.
Published: (2024)

Mimetic Initialization of MLPs
by: Trockman, Asher, et al.
Published: (2026)

Improved Mean Flows: On the Challenges of Fastforward Generative Models
by: Geng, Zhengyang, et al.
Published: (2025)

Diffusing Differentiable Representations
by: Savani, Yash, et al.
Published: (2024)

Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
by: Ai, Xinyue, et al.
Published: (2025)

Consistency Models Made Easy
by: Geng, Zhengyang, et al.
Published: (2024)

Finetuning CLIP to Reason about Pairwise Differences
by: Sam, Dylan, et al.
Published: (2024)

From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
by: Gurumurthy, Swaminathan, et al.
Published: (2024)

T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
by: Maini, Pratyush, et al.
Published: (2023)

Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters
by: Li, Kevin Y., et al.
Published: (2024)

Forcing Diffuse Distributions out of Language Models
by: Zhang, Yiming, et al.
Published: (2024)

HyperCLIP: Adapting Vision-Language models with Hypernetworks
by: Akinwande, Victor, et al.
Published: (2024)

DART: Implicit Doppler Tomography for Radar Novel View Synthesis
by: Huang, Tianshu, et al.
Published: (2024)

One-Step Diffusion Distillation through Score Implicit Matching
by: Luo, Weijian, et al.
Published: (2024)

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
by: Hu, Minghui, et al.
Published: (2021)

TOFU: A Task of Fictitious Unlearning for LLMs
by: Maini, Pratyush, et al.
Published: (2024)

Rethinking LLM Memorization through the Lens of Adversarial Compression
by: Schwarzschild, Avi, et al.
Published: (2024)

On Discrete Prompt Optimization for Diffusion Models
by: Wang, Ruochen, et al.
Published: (2024)

PromptRL: Prompt Matters in RL for Flow-Based Image Generation
by: Wang, Fu-Yun, et al.
Published: (2026)

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model
by: Shi, Qingyu, et al.
Published: (2025)

From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image Inpainting
by: Agarwal, Umang, et al.
Published: (2025)

Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
by: Verma, Sahil, et al.
Published: (2023)

Optimization of Precipitate Segmentation Through Linear Genetic Programming of Image Processing
by: Williams, Kyle, et al.
Published: (2026)

VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
by: Cheng, Jiale, et al.
Published: (2025)

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

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

Optimizing Negative Prompts for Enhanced Aesthetics and Fidelity in Text-To-Image Generation
by: Ogezi, Michael, et al.
Published: (2024)

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
by: Harrington, Anne, et al.
Published: (2025)

Training-Free Generation of Diverse and High-Fidelity Images via Prompt Semantic Space Optimization
by: Meng, Debin, et al.
Published: (2025)

A Comparative Study of NAFNet Baselines for Image Restoration
by: Esaulov, Vladislav, et al.
Published: (2025)

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
by: Konwer, Aishik, et al.
Published: (2025)

Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments
by: Farrukh, Yasir Ali, et al.
Published: (2025)

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
by: He, Xiaoxiao, et al.
Published: (2024)

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

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization
by: Gan, Haosheng, et al.
Published: (2025)

Interpretable EEG-to-Image Generation with Semantic Prompts
by: Rezvani, Arshak, et al.
Published: (2025)