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🔥1-min Interactive Video Generation with Multimodal Control🔥 Towards *long-context world model*, #LongVie is an end-to-end autoregressive framework for controllable ultra-long video generation - Page: - Paper: . Thanks AK

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Ziwei Liu

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14,150 görüntüleme • 10 ay önce •via X (Twitter)

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🔥Ultra-Long Video World Model up to 5min🔥 ✨ We introduce #LongVie2, an end-to-end autoregressive video world model that supports continuous video generation lasting up to 5min with: 🕹️ Strong Controllability 📷 Long-term Visual Fidelity 🔒 Temporal Consistency - Project: - Code: - Paper: . Thanks to AK !
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🔥Ultra-Long Video World Model up to 5min🔥 ✨ We introduce #LongVie2, an end-to-end autoregressive video world model that supports continuous video generation lasting up to 5min with: 🕹️ Strong Controllability 📷 Long-term Visual Fidelity 🔒 Temporal Consistency - Project: - Code: - Paper: . Thanks to AK !

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Long Context Tuning for Video Generation
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Long Context Tuning for Video Generation

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Infinity-RoPE Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout
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Infinity-RoPE Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout

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CineMaster A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
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CineMaster A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation

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LongLive Real-time Interactive Long Video Generation
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LongLive Real-time Interactive Long Video Generation

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🚀 We open-sourced LongLive — interactive, real-time long-video generation. 👥Generates video in real time as users enter text prompts. ⚡️20.7 FPS on a single H100,⏱️up to 240s per clip. 🎬Fine-tunes SOTA short-video models (e.g., Wan) into long-video generators. 🌍One step closer to World Models. All code for training & inference, model weights, demo page, and videos released! Paper: Code: Model: Demo Page: Introduction Video:
3:18

🚀 We open-sourced LongLive — interactive, real-time long-video generation. 👥Generates video in real time as users enter text prompts. ⚡️20.7 FPS on a single H100,⏱️up to 240s per clip. 🎬Fine-tunes SOTA short-video models (e.g., Wan) into long-video generators. 🌍One step closer to World Models. All code for training & inference, model weights, demo page, and videos released! Paper: Code: Model: Demo Page: Introduction Video:

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We propose Long Context Tuning (LCT) for scene-level video generation to bridge the gap between current single-shot generation and real-world narrative video productions. Homepage: Report:
4:29

We propose Long Context Tuning (LCT) for scene-level video generation to bridge the gap between current single-shot generation and real-world narrative video productions. Homepage: Report:

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Yume An Interactive World Generation Model
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Yume An Interactive World Generation Model

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Mode Seeking meets Mean Seeking for Fast Long Video Generation paper:
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Mode Seeking meets Mean Seeking for Fast Long Video Generation paper:

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GMI Studio is officially here. We’ve moved beyond multimodal hubs to create a dedicated workflow engine for high-end AI creation. - Long-form video (2 min+). - 1 image, 10 video styles, cinematic output. - 1.4x faster generation speed, powered by GMI inference. - Social feed: Discover and like. The beta is over. The studio is open.
1:10

GMI Studio is officially here. We’ve moved beyond multimodal hubs to create a dedicated workflow engine for high-end AI creation. - Long-form video (2 min+). - 1 image, 10 video styles, cinematic output. - 1.4x faster generation speed, powered by GMI inference. - Social feed: Discover and like. The beta is over. The studio is open.

GMI Cloud

971,213 görüntüleme • 5 ay önce

PixVerse just launched their first real-time video world model R1, powered by fal's high-performance compute. It turns AI video from static clips into a real-time, interactive world. 🔄 Continuous generation stream 🧠 Autoregressive memory system ⚡ Ultra-fast response engine
0:27

PixVerse just launched their first real-time video world model R1, powered by fal's high-performance compute. It turns AI video from static clips into a real-time, interactive world. 🔄 Continuous generation stream 🧠 Autoregressive memory system ⚡ Ultra-fast response engine

fal

18,822 görüntüleme • 5 ay önce

MuseSteamer just leveled up! Our video generation model now supports real-time interactive long-form video generation. It breaks the traditional 10-second limit, creating videos of any length with greater speed and control—enabling users to pause, rewrite storylines, or extend transitions any time during the process.
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MuseSteamer just leveled up! Our video generation model now supports real-time interactive long-form video generation. It breaks the traditional 10-second limit, creating videos of any length with greater speed and control—enabling users to pause, rewrite storylines, or extend transitions any time during the process.

Baidu Inc.

142,732 görüntüleme • 8 ay önce

🚀 Excited to release LongLive 2.0! 🎬 An end-to-end infrastructure for long video generation, with FP4 and parallelism at the core of both training and inference. ⚡45.7 FPS generation speed on 5B model⚡ ✨ LongLive 2.0 supports real-video training, few-step distillation, multi-shot training/inference, sequence-parallel acceleration, NVFP4 KV cache, and async VAE decoding deployment. 🧩 To our knowledge, this is the first open-source 4-bit long video generation infra that covers both training and inference. 🙌 Welcome to check it out, try it, and share feedback! 🔗 Code: 📰 Paper: 🎥 Demo: #LongVideoGeneration #VideoGeneration #Realtime #AIInfra #EfficientAI #FP4 #Parallel #NVIDIA
1:31

🚀 Excited to release LongLive 2.0! 🎬 An end-to-end infrastructure for long video generation, with FP4 and parallelism at the core of both training and inference. ⚡45.7 FPS generation speed on 5B model⚡ ✨ LongLive 2.0 supports real-video training, few-step distillation, multi-shot training/inference, sequence-parallel acceleration, NVFP4 KV cache, and async VAE decoding deployment. 🧩 To our knowledge, this is the first open-source 4-bit long video generation infra that covers both training and inference. 🙌 Welcome to check it out, try it, and share feedback! 🔗 Code: 📰 Paper: 🎥 Demo: #LongVideoGeneration #VideoGeneration #Realtime #AIInfra #EfficientAI #FP4 #Parallel #NVIDIA

Yukang Chen

57,091 görüntüleme • 1 ay önce

Glad to share Seaweed-7B, a cost-effective foundation model for video generation. Our tech report highlights the key designs that significantly improve compute efficiency and performance given limited resources, achieving comparable quality against other industry-level models. To unleash the power of the foundation model, Seaweed-7B further enables a wide range of downstream applications including image-to-video generation, human video generation, subject-consistent video generation, video-audio joint generation, long video generation and storytelling, real-time generation, super-resolution generation, camera controlled generation. Check out our webpage and report for more details: Webpage: Paper: It's a wonderful journey of the last year. Thanks to all teammates for their contributions, sincerely.
1:30

Glad to share Seaweed-7B, a cost-effective foundation model for video generation. Our tech report highlights the key designs that significantly improve compute efficiency and performance given limited resources, achieving comparable quality against other industry-level models. To unleash the power of the foundation model, Seaweed-7B further enables a wide range of downstream applications including image-to-video generation, human video generation, subject-consistent video generation, video-audio joint generation, long video generation and storytelling, real-time generation, super-resolution generation, camera controlled generation. Check out our webpage and report for more details: Webpage: Paper: It's a wonderful journey of the last year. Thanks to all teammates for their contributions, sincerely.

Ceyuan Yang

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🪄 Magi-1: The Autoregressive Diffusion Video Generation Model - Now available at 🥇 The first autoregressive video model with top-tier quality output 🔓 100% open-source & tech report 📊 Exceptional performance on major benchmarks ⏳ 1/5
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🪄 Magi-1: The Autoregressive Diffusion Video Generation Model - Now available at 🥇 The first autoregressive video model with top-tier quality output 🔓 100% open-source & tech report 📊 Exceptional performance on major benchmarks ⏳ 1/5

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Just for fun, here's what 32 simultaneous long-context generations with Qwen3 Next 80B looks like on an M3 Ultra. Using the new batch generation in mlx-lm. Context size for each is about 5k tokens:
0:41

Just for fun, here's what 32 simultaneous long-context generations with Qwen3 Next 80B looks like on an M3 Ultra. Using the new batch generation in mlx-lm. Context size for each is about 5k tokens:

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🚀 We’re excited to announce LingBot-VA, a new state-of-the-art robot policy model from Robbyant ! LingBot-VA is built on a causal, autoregressive video-action world model for generalist robot control. Highlights: (1) First unified autoregressive video-action world model for robot control (2) Low-latency inference with a new asynchronous execution pipeline (3) SOTA on RoboTwin (92.9%, firstever > 90%) and LIBERO (98.5%) (4) +20% over π0.5 on challenging real-world long-horizon & high-precision tasks
1:51

🚀 We’re excited to announce LingBot-VA, a new state-of-the-art robot policy model from Robbyant ! LingBot-VA is built on a causal, autoregressive video-action world model for generalist robot control. Highlights: (1) First unified autoregressive video-action world model for robot control (2) Low-latency inference with a new asynchronous execution pipeline (3) SOTA on RoboTwin (92.9%, firstever > 90%) and LIBERO (98.5%) (4) +20% over π0.5 on challenging real-world long-horizon & high-precision tasks

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46,380 görüntüleme • 4 ay önce

Introducing The Matrix --- a foundation world model for generating infinite-length, hyper-realistic videos with real-time, frame-level control: - Infinite-length video generation - 720p high-quality rendering - Real-time, frame-level control at 16 FPS - Generalization to real-world video control 🔗Blog: 📄Paper: 💻Code & Playable Demo: Coming soon! Key Innovation: A brand new technique called the shift-window denoise process model, enabling auto-regressive generation for diffusion and consistency models in real-time. Special thanks to project leader Ruili Feng and the entire Matrix team for their dedication and hard work over the year-long project.
1:00

Introducing The Matrix --- a foundation world model for generating infinite-length, hyper-realistic videos with real-time, frame-level control: - Infinite-length video generation - 720p high-quality rendering - Real-time, frame-level control at 16 FPS - Generalization to real-world video control 🔗Blog: 📄Paper: 💻Code & Playable Demo: Coming soon! Key Innovation: A brand new technique called the shift-window denoise process model, enabling auto-regressive generation for diffusion and consistency models in real-time. Special thanks to project leader Ruili Feng and the entire Matrix team for their dedication and hard work over the year-long project.

Hongyang Zhang

178,322 görüntüleme • 1 yıl önce

Any2Caption Interpreting Any Condition to Caption for Controllable Video Generation
2:07

Any2Caption Interpreting Any Condition to Caption for Controllable Video Generation

AK

50,115 görüntüleme • 1 yıl önce

Bytedance first to the holodeck with a steerable real time video generation world model. Up to a minute long videos 24 fps in HD resolution on 8xH100s. It's only an 8 billion param model...
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Bytedance first to the holodeck with a steerable real time video generation world model. Up to a minute long videos 24 fps in HD resolution on 8xH100s. It's only an 8 billion param model...

Prakash (Ate-a-Pi)

34,144 görüntüleme • 1 yıl önce