Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders

Benchmark Model Rank Results
visual-question-answering-vqa-on-seed-seedbenchRAE (SigLIP-2)#24Accuracy: 69.8
text-to-image-generation-on-dpg-benchRAE (SigLIP-2 ViT-So)#78DPG-Bench Score: 76.9
multimodal-reasoning-on-mmmuRAE (SigLIP-2)#123Accuracy: 41.1
text-to-image-generation-on-genevalRAE (Qwen-2.5 7B + DiT 5.5B, without TTS)#156Overall: 0.555