blocks.glass-AI build create 3D holographic displays
Blocks | Goodbye GIFs. Meet holograms.
Tags：AI Photo Image Animate3D effects 3D holographic display Display Holograms GIFPricing Type
- Pricing Type: Free
- Price Range Start($):
Key Points: Display Holograms, 3D holographic display, GIF, 3D effects
Looking Glass Blocks: Share and Display Holograms
Looking Glass Blocks is a platform that allows you to share and embed holograms on the internet, accessible from any device. It enables you to cast these holograms directly onto Looking Glass displays, which are personal 3D holographic displays. Notably, these displays don’t require a headset to experience the 3D effects.
Features and Benefits
The Looking Glass Portrait is a unique personal 3D holographic display that stands out as the only one of its kind in the world. Unlike traditional virtual reality setups, the Looking Glass Portrait does not necessitate the use of a headset. This innovation provides users with a new way to interact with 3D holograms.
The platform also showcases various creations, such as “Skulls” by Jay Howse and “Ember (portrait)” by Elemental, demonstrating the capabilities of Looking Glass technology.
For more information and to experience the Looking Glass Blocks and Looking Glass Portrait firsthand, you can visit their official website: blocks.glass.
Insights
Looking Glass Blocks presents an intriguing advancement in holographic technology by enabling hologram sharing and embedding, making it more accessible across different devices. The Looking Glass Portrait’s standout feature of offering 3D holographic experiences without the need for a headset could potentially redefine how people engage with holograms. This technology has applications in various industries, from art and design to education and entertainment, offering a new way to visualize and interact with 3D content.
References:
- Looking Glass Blocks – Share and embed your holograms across the internet on any device and cast them directly onto your Looking Glass displays
- Discover | Looking Glass Blocks
- Skulls (by Jay Howse) by Looking Glass Staff
- Ember (portrait) by Elemental
blocks.glass
Related
LAMA utilizes a reinforcement learning framework combined with a motion matching algorithm. Reinforcement learning helps the model make appropriate decisions in various scenarios, while motion matching algorithms ensure that synthesized actions match real human actions. In addition, LAMA also utilizes the motion editing framework of manifold learning to cover various possible changes in interactions and operations.
