“The vision for Threads is to create an option and friendly public space for conversation,” Meta CEO Mark Zuckerberg said in a Threads post following the launch. Verified Instagram accounts are automatically verified on Threads. Thread accounts can also be listed as public or private. Meta officially launches Twitter rival Threads. But the app also blends Instagram’s existing aesthetic and navigation system, and offers the ability to share posts from Threads directly to Instagram Stories. Similar to Twitter, users can reply to, repost and quote others’ Threads posts. Meta said messages posted to Threads will have a 500-character limit. The platform looks a lot like Twitter, with a feed of largely text-based posts - although users can also post photos and videos - where people can have real-time conversations. Threads is a new app from the parent company of Facebook, Instagram and WhatsApp. Here is everything we know so far about Meta’s Threads: And for Meta, Threads could further expand its empire of popular apps and provide a new platform on which to sell ads. But Twitter has become particularly vulnerable in recent days, angering users over a temporary limit on how much content users can view each day. Threads could pose a serious threat to Twitter, which has faced backlash since Elon Musk t ook over the platform in October 2022 and has run it with a fly-by-the-seat-of-your-pants approach.
Tool reflection image free#
The mood on Threads on the night of its launch felt a bit like the first day of school, with early adopters rushing to try out the app and write their first posts - and some questioning whether the app could end up being the “Twitter killer.” As of Thursday morning, Threads was the top free app on Apple’s App Store and a top trending topic on Twitter. Threads is already off to a strong start: it received 100 million sign-ups in less than a week, the app shows, including a large number of brands, celebrities, journalists and many other prominent accounts. LiDAR range LiDAR reflection artificial intelligence fusion technique heterogeneous source image generation sparse input.Facebook-parent Meta officially launched its Twitter competitor, Threads, last Wednesday, after first confirming its plans for the app just three months ago. The methodology presented in this paper would be a powerful tool for generating data from two or more heterogeneous sources. Besides, the last fusion method can be applied to real-time applications with an average processing time of 13.56 ms per frame. The simulation results showed that the proposed last fusion method yields improvements of 0.53 dB, 0.49 dB, and 0.02 in gray-scale peak signal-to-noise ratio (PSNR), color-scale PSNR, and structural similarity index measure (SSIM), respectively, over the conventional reflection-based ED-FCN. The well-known KITTI evaluation data were used for training and verification. The image generation performances were evaluated according to source types, including reflection data-only, range data-only, and fusion of the two datasets.
The baseline network is the encoder-decoder structured fully convolution network (ED-FCN). In the proposed networks, the two datasets are fused in three ways-early, mid, and last fusion techniques. We propose deep learning networks that generate color images by fusing reflection and range data from LiDAR point clouds. In this paper, we present that the color image can also be generated from the range data of LiDAR. Recently, it has been reported that a camera-captured-like color image can be generated from the reflection data of 3D light detection and ranging (LiDAR).
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