You're not imagining it, the AI agents are getting alarmingly cute. First, there was Meta's Muse, whose mascot is a fuzzy egg-shaped creature called Jolly. Now, OpenAI has unveiled its own muppet-like personal agents, Dots. Both companies are encouraging users to treat their agent like a digital pet, with distinct names and appearances. Given the current rhetoric around AI safety and the public's general suspicion of the industry, it's not surprising that companies would want to make its agents look cute and non-threatening.

I'm almost embarrassed to admit that the first time I saw one of Meta's new holographic avatars today, during a WhatsApp call with a Meta rep I had just met a few minutes before, I didn't immediately clock that I was speaking to an avatar. That's how far the company's avatar technology has come in the last couple years. Meta announced at Connect that it's bringing its holographic avatars to its new VR glasses and to the Meta Ray-Ban Display frames. I got the chance to experience both ahead of the keynote and was surprised at how far the tech has come since the first time I experienced it on Meta's Orion prototype. Setting up an avatar is a bit different depending on which device you're using.

Magic: The Gathering's Avatar The Last Airbender Beginner Box is back under $30 at Amazon -- save $5 You can save even more at TCGplayer. Ben Williams is a freelance writer at Mashable, having joined the team in June 2025. With over 10 years experience in gaming, tech, TV, anime, and film, there's nothing he hasn't covered. Alongside Ben's other work at IGN, Radio Times, Eurogamer, UNILAD Tech, and Rock Paper Shotgun, he also has bylines at sites like GamesRadar+, PCGamesN, ScreenSphere, Twinfinite, ScreenRant, GGRecon, and more. All products featured here are independently selected by our editors and writers.

Muse is separate from the existing Meta AI app with its own iOS and Android apps and website. You don't need a Facebook or Instagram account, but you will need a Meta account. On web, all I had to do to log in was enter my phone number and Muse AI already had my relevant accounts linked. After logging in, one of the first things Muse will ask is for you to rename it. I don't know why, but Meta really wants you to name your agent.

Mashable Selects Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Look Up Back to School Say More Trending Now Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net Versus All Series'Avatar: Seven Havens' trailer combines bending power with'Mad Max' vibes What does the Avatar apocalypse look like? Belen Edwards is an Entertainment Reporter at Mashable. She covers movies and TV with a focus on fantasy and science fiction, adaptations, animation, and more nerdy goodness. She is a member of the Critics Choice Association and the Television Critics Association, as well as a Tomatometer-approved critic. All products featured here are independently selected by our editors and writers.

Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Creator Playbook Mashable Voices Trending Now Say More Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series What TV show will be your fall obsession? Belen Edwards is an Entertainment Reporter at Mashable. She covers movies and TV with a focus on fantasy and science fiction, adaptations, animation, and more nerdy goodness. She is a member of the Critics Choice Association and the Television Critics Association, as well as a Tomatometer-approved critic. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. From Blade Runner 2099 to Avatar: Seven Havens, here are the shows that should be on your radar. So far in 2026, we've spent our winter scrubbing into, our spring drinking sunset cocktails in, and our summer getting lost in . Where will fall TV take us next? With an avalanche of shows barreling towards us, the options can feel endless.

Reconstructing detailed hand avatars plays a crucial role in various applications. While prior works have focused on capturing high-fidelity hand geometry, they heavily rely on high-resolution multi-view image inputs and struggle to generalize on low-resolution images. Multi-view image super-resolution methods have been proposed to enforce 3D view consistency. These methods, however, are limited to static objects/scenes with fixed resolutions and are not applicable to articulated deformable hands. In this paper, we propose SRHand (Super-Resolution Hand), the method for reconstructing detailed 3D geometry as well as textured images of hands from low-resolution images.

We introduce BecomingLit, a novel method for reconstructing relightable, highresolution head avatars that can be rendered from novel viewpoints at interactive rates. Therefore, we propose a new low-cost light stage capture setup, tailored specifically towards capturing faces. Using this setup, we collect a novel dataset consisting of diverse multi-view sequences of numerous subjects under varying illumination conditions and facial expressions. By leveraging our new dataset, we introduce a new relightable avatar representation based on 3DGaussian primitives that we animate with a parametric head model and an expression-dependent dynamics module. We propose a new hybrid neural shading approach, combining a neural diffuse BRDF with an analytical specular term. Our method reconstructs disentangled materials from our dynamic light stage recordings and enables allfrequency relighting of our avatars with both point lights and environment maps. In addition, our avatars can easily be animated and controlled from monocular videos. We validate our approach in extensive experiments on our dataset, where we consistently outperform existing state-of-the-art methods in relighting and reenactment by a significant margin.

Recent advances in 3DGaussian Splatting (3DGS) have improved the visual fidelity of dynamic avatar reconstruction. However, existing methods often overlook the inherent chromatic similarity of human skin tones, leading to poor capture of intricate facial geometry under subtle appearance changes. This is caused by the affine approximation of Gaussian projection, which fails to be perspective-aware to depth-induced shear effects. To this end, we propose True-to-Geometry Avatar Dynamic Reconstruction (TGA), a perspective-aware 4DGaussian avatar framework that sensitively captures fine-grained facial variations for accurate 3D geometry reconstruction. Specifically, to enable color-sensitive and geometry-consistent Gaussian representations under dynamic conditions, we introduce the PerspectiveAware Gaussian Transformation that jointly models temporal deformations and spatial projection by integrating Jacobian-guided adaptive deformation into the homogeneous formulation. Furthermore, we develop Incremental BVHTree Pivoting to enable fast frame-by-frame mesh extraction for 4DGaussian representations. A dynamic Gaussian Bounding Volume Hierarchy (BVH) tree is used to model the topological relationships among points, where active ones are filtered out by BVH pivoting and subsequently re-triangulated for surface reconstruction. Extensive experiments demonstrate that TGA achieves superior geometric accuracy.

The creation of photorealistic dynamic hair remains a major challenge in digital human modeling because of the complex motions, occlusions, and light scattering.