Improving Text-to-Image Consistency via Automatic Prompt Optimization
Paper
• 2403.17804 • Published
• 20
Text To Image
-
-
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 25 -
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 31 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13 -
TextCraftor: Your Text Encoder Can be Image Quality Controller
Paper • 2403.18978 • Published • 15 -
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Paper • 2403.18818 • Published • 28 -
FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing
Paper • 2403.18605 • Published • 11 -
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Paper • 2404.02733 • Published • 22 -
ByteEdit: Boost, Comply and Accelerate Generative Image Editing
Paper • 2404.04860 • Published • 25 -
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
Paper • 2404.04544 • Published • 23 -
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
Paper • 2404.05717 • Published • 26 -
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Paper • 2404.05674 • Published • 15 -
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
Paper • 2404.07987 • Published • 48 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Paper • 2406.04333 • Published • 38 -
An Image is Worth 32 Tokens for Reconstruction and Generation
Paper • 2406.07550 • Published • 60 -
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
Paper • 2406.09415 • Published • 51 -
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Paper • 2406.09162 • Published • 14