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3DHM - A 3D human motion generation framework that generates arbitrary video motion from a single image.

3DHM (3D Human Motions) is an advanced 3D human motion generation technology developed by researchers at the University of California, Berkeley. It can generate dynamic human videos with 3D control from a single photograph, achieving the transformation from static images...

What is 3DHM?

3DHM (3D Human Motions) is an advanced 3D human motion generation technology developed by researchers at the University of California, Berkeley. It can generate dynamic human videos with 3D control from a single photograph, achieving the transformation from static images to dynamic videos. The technology learns prior knowledge of the invisible parts of the human body and combines it with a given 3D motion sequence to render new body poses with appropriate clothing and textures. 3DHM has a wide range of applications, including film special effects, virtual reality, and game development, providing new possibilities for animation and human motion simulation.

3DHM's main functions

  • Action generation3DHM can generate corresponding 3D human movements based on text descriptions, such as running, dancing, playing basketball, etc.
  • Action editingSupports mask-based editing, allowing users to specify and edit specific parts of an action, such as changing its duration or details.
  • Motion assessmentProvides evaluation scripts for assessing the quality and realism of generated actions.
  • Texture pattern repairIncomplete texture patterns are generated from a single photograph and repaired using a diffusion model to generate complete texture patterns.
  • Human body renderingBased on a 3D human pose control rendering pipeline, it can generate realistic renderings of target characters in different poses, including reasonable filling of clothing, hair and unseen areas.
  • Imitate actionsThe 3DHM framework can mimic the actions in a target video, including body movements as well as changes in clothing and appearance.
  • 3D control3DHM can use various synthetic camera trajectories to render characters, generating a series of 3D poses that are faithful to the target's movement and are visually more similar to the input.

3DHM Technical Principles

  • Texture and pattern restoration (Inpainting Diffusion)The process involves generating an incomplete texture pattern from a single photograph and then using a diffusion model to repair it and generate a complete texture pattern. First, partially visible texture patterns and their corresponding masks are extracted from a given single photograph. Then, these inputs are fed into a diffusion model to generate a complete texture pattern that includes the unseen areas.
  • Human body rendering (Rendering Diffusion)In the second stage, the goal is to obtain a more realistic character render, including details such as clothing, hairstyle, and body shape. The texture pattern generated in the first stage is applied to a sequence of 3D body meshes of the actor, generating an intermediate render of an imitator performing the actor's movements. Then, the obtained intermediate render and the original character photograph are fed into a render diffusion process to render a character with a realistic appearance based on the given input.
  • Predictive model 4DHumans:The 3DHM framework fully leverages the advantages of accurate 3D pose prediction from the state-of-the-art prediction model 4DHumans, which can accurately track human movements and extract 3D human poses from actor videos.

3DHM project address

3DHM application scenarios

  • Movie special effects production3DHM can be used to generate complex character animations, reducing the workload of manual animation production and improving the realism and efficiency of movie special effects.
  • Virtual Reality (VR)In VR applications, 3DHM can be used to generate 3D models of the user's body in real time, enhancing the user's immersion and interactive experience.
  • Game developmentGame developers can use 3DHM to quickly generate diverse character animations, improving the richness of games and development efficiency.
  • Dance and Gymnastics3DHM can generate high-quality video content of movements such as dance or gymnastics, which is suitable for the digital display of sports training and performing arts.
  • Action imitation3DHM can mimic the movements in a target video, including body movements as well as changes in clothing and appearance, making it suitable for motion capture and animation production.
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