DeepMind Blog
Oct 23, 2025
Introducing Veo 3.1 and advanced creative capabilities
We’re rolling out significant updates to Veo that give people even more creative control.
Veo 3.1 Ingredients to Video: More consistency, creativity and control
Our latest Veo update generates lively, dynamic clips that feel natural and engaging — and supports vertical video generation.
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DeepMind Blog
May 20, 2025
Fuel your creativity with new generative media models and tools
Introducing Veo 3 and Imagen 4, and a new tool for filmmaking called Flow.
DeepMind Blog
Oct 25, 2025
Behind “ANCESTRA”: combining Veo with live-action filmmaking
We partnered with Darren Aronofsky, Eliza McNitt and a team of more than 200 people to make a film using Veo and live-action filmmaking.
Hugging Face Trending Papers
Jun 17
LooseControlVideo: Directorial Video Control using Spatial Blocking
Precise 3D spatial orchestration in text-to-video generation remains a significant challenge, particularly for multi-object scenes where semantic layout and temporal dynamics are often entangled. While existing depth-conditioned models achieve good structural fidelity, they necessitate dense, frame-accurate guidance that is labor-intensive to author for dynamic events involving deformable objects.
arXiv AI
Jul 7
Motion Attribution for Video Generation
arXiv:2601. 08828v2 Announce Type: replace-cross Abstract: Despite the rapid progress of video generation models, the role of data in influencing motion is poorly understood.
arXiv AI
Aug 11
Controllable Video Object Insertion via Multi-View Priors
arXiv:2604. 14556v2 Announce Type: replace-cross Abstract: Video object insertion places a user-specified object in an existing dynamic scene.
arXiv AI
Jul 23
StreamHOI: Interaction-aware Temporal Memory Adaptation for Streaming HOI Video Generation
arXiv:2607. 20174v1 Announce Type: cross Abstract: Existing human--object interaction (HOI) video generation methods are largely limited to offline short-video generation with complex driving conditions, making them unsuitable for real-time interactive applications.
arXiv AI
Jun 2
V-LynX: Token Interface Alignment for Video+X LLMs
arXiv:2606. 00508v1 Announce Type: cross Abstract: This study introduces an intriguing phenomenon in Video LLMs: rather than merely translating frames into textual embeddings, Video LLMs establish a continuous manifold, token interface, allowing visual tokens to operate as standalone entities within the architecture.
arXiv AI
Jun 16
BRITE: A Benchmark for Reliable and Interpretable T2V Evaluation on Implausible Scenarios
arXiv:2605. 00873v2 Announce Type: replace-cross Abstract: The rapid advancement of photorealistic Text-to-Video (T2V) generation brings in an urgent need for up-to-date evaluation methods.
arXiv AI
Jun 9
Evaluating Design Video Generation: Metrics for Compositional Fidelity
arXiv:2605. 16223v2 Announce Type: replace-cross Abstract: Generative video models are increasingly used in design animation tasks, yet no standardized evaluation framework exists for this domain.
arXiv AI
Jun 2
Knowledge-Intensive Video Generation
arXiv:2606. 01285v1 Announce Type: cross Abstract: Text-to-video generation has advanced rapidly in visual quality, but remains under-evaluated for factuality and practical usefulness.
arXiv AI
Jul 23
OSVE: One Step Video Editing with One Step Diffusion Models
arXiv:2607. 19895v1 Announce Type: cross Abstract: Text-guided video editing with diffusion models is impractically slow, hindered by costly multi-step sampling and inversion.