Unverified50% confidenceBenchmarkExact time
Combined with joint scaling, STAC yields consistent improvements on class-conditional ImageNet generation.
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Long-term
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11/2/2026
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UnverifiedCombined with joint scaling, STAC confirms the effectiveness of the method on Wan2.1-based text-to-video generation.74% similarUnverifiedSTCNet adopts a dual-domain collaborative strategy, introducing physics-driven positional encoding in the projection domain and temporal encoding in the latent space, jointly optimizing the projection domain and the image domain.67% similarUnverifiedMFlow is evaluated on ImageNet, UCF-101 video, and large-scale text-to-image generation tasks, and the results show competitive or superior generation performance across a variety of settings.65% similarUnverifiedExperiments found that reference images significantly improve the visual quality of code generated by existing models.61% similarUnverifiedATAS's experimental results show that on four different video generators, ATAS improved all reported cross-shot consistency metrics and achieved the highest overall benchmark score for every backbone model.60% similar
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