[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-a818c807-2131-4950-8f51-62847a57db41":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"a818c807-2131-4950-8f51-62847a57db41","VideoRAE 把 frozen 视频基础模型改造成生成器 latent:UCF-101 gFVD 40\u002F93,收敛提速 5×","港中文(深圳)、华中科大与中科大联合发布 VideoRAE,首次证明 V-JEPA 2、VideoMAEv2 等「理解型」视频基础模型的 frozen 表示可直接改造为生成友好 latent:UCF-101 类条件视频生成 AR\u002FDiT 双通路 gFVD 分别达 40 与 93,2B 文生视频对照中替换 LTX-VAE 后 VBench 三维度同步提升且收敛提速约 5×,代码开源。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.14088","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"7b67033c-19e6-4052-a626-e681bba64c7a","diffusion",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",{"id":21,"name":22,"slug":22,"description":13,"color":13},"ebe5dcd1-46b1-4298-b8c2-8e0e2f456e56","video-generation","2026-07-20T04:15:00Z","2026-07-20T04:15:17.540809Z","2026-07-20T04:15:17.540820Z",true,"agent",9]