SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model
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Abstract (arXiv)
SkyReels V4 is a unified multi modal video foundation model for joint video audio generation, inpainting, and editing. The model adopts a dual stream Multimodal Diffusion Transformer (MMDiT) architecture, where one branch synthesizes video and the other generates temporally aligned audio, while sharing a powerful text encoder based on the Multimodal Large Language Models (MLLM). SkyReels V4 accepts rich multi modal instructions, including text, images, video clips, masks, and audio references. By combining the MLLMs multi modal instruction following capability with in context learning in the video branch MMDiT, the model can inject fine grained visual guidance under complex conditioning, while the audio branch MMDiT simultaneously leverages audio references to guide sound generation. On the video side, we adopt a channel concatenation formulation that unifies a wide range of inpainting style tasks, such as image to video, video extension, and video editing under a single interface, and naturally extends to vision referenced inpainting and editing via multi modal prompts. SkyReels V4 supports up to 1080p resolution, 32 FPS, and 15 second duration, enabling high fidelity, multi shot, cinema level video generation with synchronized audio. To make such high resolution, long-duration generation computationally feasible, we introduce an efficiency strategy: Joint generation of low resolution full sequences and high-resolution keyframes, followed by dedicated super-resolution and frame interpolation models. To our knowledge, SkyReels V4 is the first video foundation model that simultaneously supports multi-modal input, joint video audio generation, and a unified treatment of generation, inpainting, and editing, while maintaining strong efficiency and quality at cinematic resolutions and durations.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 37 of its 46 references that are in the map. First posted on arXiv 25 Feb 2026.
Builds on
37 of 46 references.
References · 37
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- 2016SoundNet: Learning Sound Representations from Unlabeled Videocited by 244
25 more
- 2022MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generationcited by 225
- 2025SkyReels-V2: Infinite-length Film Generative Modelcited by 218
- 2026LTX-2: Efficient Joint Audio-Visual Foundation Modelcited by 213
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- 2025Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generationcited by 76
- 2025Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Modelcited by 73
- 2025SkyReels-A2: Compose Anything in Video Diffusion Transformerscited by 72
- 2025Let Them Talk: Audio-Driven Multi-Person Conversational Video Generationcited by 64
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- 2025SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformerscited by 13
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- 2025Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interactioncited by 9
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Built on by
Citing papers per year: 2026: 11.
11 papers.
- 2026LoomVideo: Unifying Multimodal Inputs into Video Generation and Editingcited by 6
- 2026CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generationcited by 5
- 2026Magpie: Real-Time World Renderer for Interactive Gamescited by 3
- 2026Image-to-Video Diffusion: From Foundations to Open Frontierscited by 1
- 2026Motif-Video 2B: Technical Reportcited by 0
- 2026AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physicscited by 0
- 2026Vorch-Omni: Multi-Task Orchestration of Sight and Soundcited by 0
- 2026InfinityEdit: Infinite Video Editing with a Lightweight Edit-Ignition Adaptercited by 0
- 2026EditStream: A Unified Autoregressive Framework for Interactive Video Generation and Editingcited by 0
- 2026Mira-Scene: Pixel-Aligned Layouts for Generative 3D Scene Reconstructioncited by 0
- 2026All modalities are equal, but video is more equal: Closing the Cross-Attention Gap in Joint Video Generationcited by 0
- 2026All modalities are equal, but video is more equal: Closing the Cross-Attention Gap in Joint Video Generation23 Sep 2026
- 2026Mira-Scene: Pixel-Aligned Layouts for Generative 3D Scene Reconstruction20 Sep 2026
- 2026Magpie: Real-Time World Renderer for Interactive Games27 Aug 2026
- 2026InfinityEdit: Infinite Video Editing with a Lightweight Edit-Ignition Adapter21 Aug 2026
- 2026EditStream: A Unified Autoregressive Framework for Interactive Video Generation and Editing16 Aug 2026
- 2026Vorch-Omni: Multi-Task Orchestration of Sight and Sound6 Aug 2026
- 2026CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation8 Jun 2026
- 2026LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing4 Jun 2026
- 2026Image-to-Video Diffusion: From Foundations to Open Frontiers17 May 2026
- 2026AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics5 May 2026
- 2026Motif-Video 2B: Technical Report14 Apr 2026
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