Yixian Xu

Rethinking few-step distillation reveals that the training pipeline's organization is as crucial as the distillation objectives themselves.

Existing text-to-image benchmarks miss the mark on real-world artistic creation, but Qwen-Image-Bench finally provides a creator-centric evaluation that reliably distinguishes state-of-the-art models.

Quotient-space diffusion elegantly sidesteps the need to learn symmetry transformations, leading to more efficient and accurate generative models for systems with inherent symmetries.