About our AI research
Content creation is hitting a turning point. Soon, AI-generated videos will not just match but outpace human-produced content in both quality and impact. It's not just about simplifying video production; it's about redefining the art of storytelling itself.
Zebracat is at the forefront of this evolution. Our engineers and researchers focus on building a multimodal AI system specialized in video generation. Today, our tech already surpasses Ā capabilities of conventional video creation tools. Tomorrow, we're aiming to create hyper-realistic video scenes as well as entirely new, synthetic content forms that capture attention in ways previously considered impossible.
In summary, Zebracat is setting a new benchmark for AI in video storytelling. We're not just keeping up with the future; we're creating it.
Reza Zolfaghari
CTO
Multimodal Video AI
At Zebracat, we're working on cutting-edge multimodal video AI. By creating models that connect text and video, we utilize language as an interface to engage with video content.
Video Scene Generation
Harnessing the transformative power of generative AI, including state-of-the-art diffusion models, Zebracat is reimagining the landscape of video production. Our vision is to craft not just scenes, but entire narratives that are indistinguishable from reality, setting a new standard for consistency and imagination in video generation.
Scene Understanding
Our research delves deep into the semantics of video scenes, decoding every semantic element and object motion. Scene understanding is the key to unlocking unprecedented levels of detail and quality in video creation.
Video Montage
Zebracat is redefining the narrative flow of video montages. We're dedicated to designing AI models that don't just stitch together clips, but weave seamless video narratives, maintaining a harmonious balance of motion and meaning throughout longer sequences.
