Dec 21, 2023 · Huh? is a face that was published in the marketplace by Roblox on March 18, 2014. It could have been purchased for 175 Robux before going off-sale. This face was replaced with a dynamic face with the same name. As of May 27, 2019, it has been purchased 62,009 times and favorited 11,207 times.

The hushed face emoji 😯 features wide-open eyes, raised eyebrows and a small oval mouth, projecting a look of surprise or mild shock. Often used to express feelings of being stunned, surprised, or in disbelief, it's perfect for moments when words fall short.

Mar 18, 2014 · Huh? is a Roblox Face created by the user Roblox. It's currently off sale. Created Mar 18, 2014, it has 309,719 favorites and its asset ID is 150182466.

Dec 18, 2023 · Huh? Face is a Roblox UGC Face Accessory created by the group Rysprite's Pixelated Goodies. It's currently off sale. Created Dec 17, 2023, it has 26 favorites and its asset ID is 15668751493.

Host and collaborate on unlimited public models, datasets and applications. With the HF Open source stack. Text, image, video, audio or even 3D. Share your work with the world and build …

Feb 12, 2024 · The face with hand over mouth emoji is a hilarious representation of surprise or shock. With its wide eyes and hand covering the mouth, this emoji captures the moment when something unexpected happens and you can’t help but react with a gasp.

A yellow face with a flat, neutral mouth and furrowed eyebrows, its left raised higher than its right. Conveys a wide variety of sentiments, including suspicion, skepticism, concern, consideration, disbelief, and disapproval.

With Tenor, maker of GIF Keyboard, add popular Huh Face animated GIFs to your conversations. Share the best GIFs now >>>

GIPHY animates your world. Find Huh GIFs that make your conversations more positive, more expressive, and more you.

Mar 28, 2025 · Face swapping aims to seamlessly transfer a source facial identity onto a target while preserving target attributes such as pose and expression. Diffusion models, known for their superior generative capabilities, have recently shown promise in advancing face-swapping quality. This paper addresses two key challenges in diffusion-based face swapping: the prioritized preservation of identity over ...