Conditional Text-to-Image Synthesis
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Benchmarks
Most implemented
CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis
MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
InstanceDiffusion: Instance-level Control for Image Generation
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Papers
CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs
We introduce CheXGenBench, a rigorous and multifaceted evaluation framework for synthetic chest radiograph generation that simultaneously assesses fidelity, privacy risks, and clinical utility across state-of-the-art tex…
Conditional Text-to-Image SynthesisTest-time Conditional Text-to-Image Synthesis Using Diffusion Models
We consider the problem of conditional text-to-image synthesis with diffusion models. Most recent works need to either finetune specific parts of the base diffusion model or introduce new trainable parameters, leading to…
Conditional Text-to-Image SynthesisDenoisingImage GenerationZero-Painter: Training-Free Layout Control for Text-to-Image Synthesis
We present Zero-Painter, a novel training-free framework for layout-conditional text-to-image synthesis that facilitates the creation of detailed and controlled imagery from textual prompts. Our method utilizes object ma…
Conditional Text-to-Image SynthesisImage GenerationMIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
We present a Multi-Instance Generation (MIG) task, simultaneously generating multiple instances with diverse controls in one image. Given a set of predefined coordinates and their corresponding descriptions, the task is …
AttributeConditional Text-to-Image SynthesisImage GenerationInstanceDiffusion: Instance-level Control for Image Generation
Text-to-image diffusion models produce high quality images but do not offer control over individual instances in the image. We introduce InstanceDiffusion that adds precise instance-level control to text-to-image diffusi…
Conditional Text-to-Image SynthesisImage GenerationInstance SegmentationSemantic SegmentationBoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Recent text-to-image diffusion models have demonstrated an astonishing capacity to generate high-quality images. However, researchers mainly studied the way of synthesizing images with only text prompts. While some works…
Conditional Text-to-Image SynthesisDenoisingImage GenerationText-to-Image Generation