arXiv:2507.07982v2 Announce Type: replace Abstract: Videos inherently represent 2D projections of a dynamic 3D world. However, our analysis suggests that video diffusion models trained solely on raw video data often fail to capture meaningful geometric-aware structure in their le…
arXiv:2605.01929v1 Announce Type: new Abstract: Video diffusion models leveraging step distillation or causal distillation have achieved remarkable performance. However, adapting existing LoRAs to these variants remains a critical challenge due to weight space mismatches. We obse…
arXiv cs.CV
TIER_1English(EN)·Houyuan Chen, Hong Li, Xianghao Kong, Tianrui Zhu, Shaocong Xu, Weiqing Xiao, Yuwei Guo, Chongjie Ye, Lvmin Zhang, Hao Zhao, Anyi Rao·
arXiv:2605.00658v1 Announce Type: new Abstract: Recent progress has shown that video diffusion models (VDMs) can be repurposed for diverse multimodal graphics tasks. However, existing methods often train separate models for each problem setting, which fixes the input-output mappi…
Recent progress has shown that video diffusion models (VDMs) can be repurposed for diverse multimodal graphics tasks. However, existing methods often train separate models for each problem setting, which fixes the input-output mapping and limits the modeling of correlations acros…
📰 Diffusion Video Reproducibility in 2026: Can Identical Latents Yield Different Results on NVIDIA ... Can diffusion video models produce visually distinct outputs when run on different GPUs with identical latents and parameters? Experts weigh in on floating-point variance and ar…
📰 Same Noise, Different Outputs: Stable Diffusion ve GPU Mimarisi 2026'da Neden Farklı Görseller Ür... Aynı başlangıç gürültüsüyle üretilen yapay zeka görselleri, farklı GPU mimarilerinde neden farklı sonuçlar veriyor? Derin analizle ortaya çıkan şaşırtıcı gerçekler.... # YapayZe…
