This page shows the most relevant public items for Computer Vision, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 13, 2026 • arXiv • Ying Yang, Fang Kang, Mengqi Zhang, Zheng Lian
Current unified multimodal models for image generation and editing typically rely on massive parameter scales (>10B), entailing prohibitive costs. We present DeepGen 1.0, a lightweight 5B unified m...
Paper • Feb 13, 2026 • arXiv • Krish Agarwal, Zhuoming Chen, Cheng Luo, Beidi Chen
The quadratic complexity of attention severely limits the context scalability of Video Diffusion Transformers (DiTs). We find that the sparse spatio-temporal attention patterns in Video DiTs can be...
It ranks public content for Computer Vision using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to Computer Vision topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to Computer Vision topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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