Image-text-to-image covers instruction-guided image editing — taking a source image plus a text command and producing a modified result. InstructPix2Pix (2023) demonstrated this could work zero-shot, and subsequent models like DALL-E 3's inpainting, Ideogram, and Stable Diffusion's img2img pipelines made it practical. The core difficulty is surgical precision: users want "change the dress to red" without altering the face, background, or lighting, which requires disentangling content from style at a level current architectures still fumble. Benchmarks are fragmented across editing fidelity, instruction-following, and identity preservation, making unified comparison difficult.
Instruction-guided image editing benchmark
Leading models on InstructPix2Pix.
No results yet. Be the first to contribute.
Didn't find the model, metric, or dataset you needed? Tell us in one line. We read every message and reply within 48 hours.
2 datasets tracked for this task.
Still looking for something on Image-Text-to-Image? A missing model, a stale score, a benchmark we should cover — drop it here and we'll handle it.
Real humans read every message. We track what people are asking for and prioritize accordingly.