https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Tue, 30 Jun 2026 00:00:00 GMT https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-video-generation-dit.en https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-video-generation-dit.en A look at the two fundamental challenges of video generation, temporal consistency and compute cost, through the lens of spatiotemporal latent patches and diffusion transformers. We analyze the concepts Sora introduced, the successor model families, and the limits of conditioning, evaluation, and physical consistency from an architecture-first perspective. Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersvideo-generationdiffusion-transformerspatiotemporaltext-to-videogenerative-ai https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-video-generation-dit.ja https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-video-generation-dit.ja 動画生成の根本的な難題である時間的一貫性と計算コストを、時空間潜在パッチと拡散トランスフォーマーの観点から整理します。Soraが提示した概念と後続モデル系列、条件付け・評価・物理的一貫性の限界をアーキテクチャ中心に分析します。 Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersvideo-generationdiffusion-transformerspatiotemporaltext-to-videogenerative-ai https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-video-generation-dit https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-video-generation-dit 비디오 생성의 근본 난제인 시간 일관성과 연산 비용을 시공간 라텐트 패치와 확산 트랜스포머 관점에서 정리합니다. Sora가 제시한 개념과 후속 모델 계열, 조건화·평가·물리 일관성 한계를 아키텍처 중심으로 분석합니다. Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersvideo-generationdiffusion-transformerspatiotemporaltext-to-videogenerative-ai