Skip to content
QbitAI · WeChat

Zhejiang University and Microsoft use 3,000 text prompts to improve video 3D consistency with World-R1

解决视频生成穿帮问题!浙大&微软3000条纯文本让模型理解3D

Zhejiang University and Microsoft introduced World-R1, training Wan 2.1 with about 3,000 text-only prompts, Flow-GRPO, and a four-part reward; the 1.3B version improves PSNR over the baseline by 10.23 dB.

Why it matters: HKR-H/K/R all pass: the hook is unusual, and the post gives 3,000 text samples, Flow-GRPO, and a +10.23 dB PSNR gain. Strong multimodal research, but not a foundation-model launch, so 78.

Read the original ↗Export Markdown