HiveNet captures and transfers facial dynamics to 3D characters with ease, democratizing high-fidelity facial animation, expanding possibilities in VR, captivating films, interactive avatars, and beyond.

HiveNet ranks top in the NoW benchmark for monocular 3D head modeling 

HiveNet enables real-time, high-resolution video rendering at any view point given sparse input cameras. e.g. 360 degree video from only 24 input cameras. It's a cost-effective solution that can boost production flexibility, revolutionize filming, and enrich 3D conferencing with more engaging communication.

HiveNet can generate harmonious and consistent human motion sequences from speech, adeptly captures a variety of movement types, including slow motions, jittering motions, and realistic & agile motions, reaching a level of realism that even surpasses the acting abilities of most ordinary people. It is poised to transform VR, filmmaking, and digital education, making high-fidelity animation accessible and cost-effective.

Millions of video creators face the challenge of memorizing scripts while trying to appear natural on camera. HiveNet employs advanced speech recognition and natural language processing to synchronize with the speaker's pace, ensuring natural delivery and maintained eye contact.

HiveNet stands out for its ability to generate human portraits that are more natural and vivid compared to many other solutions, such as Runway Gen2. Not only does it allow for the generation of short visual snippets, approximately 3-5 seconds in length, from a single sentence, but it also transforms entire text scripts into long-form talking videos. This significantly lowers the barriers to video production while also dramatically enhancing the efficiency, creativity, and originality of content creation.