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CogVideo’s 2022 paper describes a large autoregressive text-to-video model with multi-frame-rate hierarchical training.
Dhageyso hagahanAI-waa laga sheekeeyay · ~2 min
CogVideoX’s 2024 paper describes a diffusion transformer that processes compressed video latents. The projects, checkpoints, tasks, and licenses are version-specific.
CogVideo’s 2022 paper presents a 9B-parameter transformer for text-to-video, initialized from a pretrained text-to-image model and trained with a multi-frame-rate hierarchical strategy. CogVideoX is a distinct later system: its paper uses a 3D VAE to compress video across space and time, then a diffusion transformer with an Expert Transformer and adaptive LayerNorm for text-video fusion. The CogVideoX paper reports results for named settings and checkpoints. The project repository documents image-to-video features and release-specific model terms. Public code or weights do not imply identical permissions across releases or unrestricted commercial use.
Paper result: CogVideo uses multi-frame-rate hierarchical training for text-to-video generation.
Paper architecture: CogVideoX compresses video across spatial and temporal dimensions with a 3D causal VAE.
Paper architecture: CogVideoX fuses text and video representations in an Expert Transformer with adaptive normalization.
Repository-documented mode: the CogVideo project documents image-to-video alongside text-to-video; verify support and terms for the chosen checkpoint.
Compare video-generation checkpoints on the target prompt set, motion, duration, resolution, compute budget, and licensing needs. Report the exact version and settings; a result for one model release does not establish performance or rights for another.
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CogVideo’s 2022 paper describes a large autoregressive text-to-video model with multi-frame-rate hierarchical training. CogVideoX’s 2024 paper describes a diffusion transformer that processes compressed video latents. The projects, checkpoints, tasks, and licenses are version-specific.
The CogVideo paper introduced a large-scale text-to-video model and described an autoregressive, multi-frame-rate approach. 'First' claims depend on how model scale and release are defined.
Sababta 3D ee VAE waxay ku cadaadisaa fiidiyooga guud ahaan cabbirada baaxadda iyo ku meel gaadhka ahba, taasoo yaraynaysa tirinta calaamada si uu koronto-bixiye u qaabeeyo si hufan.
Transformer-ka Khabiirku waxa uu isku xidhaa qoraalka iyo calaamadaha muuqaalka oo ay weheliyaan la-qabsiga la-qabsiga, hagaajinta isku-habboonaanta u dhexeeya degdegga iyo fiidyaha la soo saaray.
Qoyska CogVideo waxay ka yimaadeen cilmi-baarayaal xiriir la leh Jaamacadda Tsinghua iyo Zhipu AI.
The CogVideo repository documents image-to-video. Support is checkpoint-specific; the cited materials do not establish video continuation for every release.
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