Your AI-generated 3D model system should now be accessible at `http://localhost:3000/generate-3d-model` or the specified port. Applications of AI-Generated 3D Models AI-generated 3D models have diverse applications, including game development, virtual reality (VR) experiences, architectural visualiza...
除了2D图像,AIGC还能够创建在建筑、游戏和产品设计等行业中使用的3D模型。这些模型极其精确,与传统方法创建3D模型相比,可以节省时间和资源。AIGC 3D模型还可以用于虚拟现实(VR)体验,为用户提供沉浸式体验。 总之,AIGC模型已经以多种方式改变了内容创作过程。它们使我们能够快速高效地跨多种格式创建高质量内容,节省了...
Mark Zuckerberg,mugshot,with a serious face 步骤二:使用头像图片生成3D模型 1.执行如下命令,切换conda环境到modelscope中。 conda activate modelscope 2.执行如下命令,切换到scripts目录。 cd /root/scripts 3.(条件必选)上传头像图片。 如果您是通过步骤一生成的图片或自定义图片,需将图片上传到root/scripts目录...
AIGC即AI Generated Content,是指利用人工智能技术来生成内容,AIGC也被认为是继UGC、PGC之后的新型内容生产方式,AI绘画、AI写作等都属于AIGC的分支。对AIGC来说,2022年被认为是其发展速度惊人的一年。 2023年1月30日,AIGC概念股突飞猛涨,消息面上,微软“加仓”,美版头条BuzzFeed“押注”,就连国内科技巨头也传出...
Our framework starts from an efficient bird's-eye-view (BEV) representation generated from simplex noise, which consists of a height field and a semantic field. The height field represents the surface elevation of 3D scenes, while the semantic field provides detailed scene semantics. This BEV ...
With its AI Sticker Generator, you can turn text into stunning stickers using mind-blowing AI-generated images. The best part? You get to choose from a wide range of styles like sketch, filmic, 3D, and anime. It's sticker-making made easy!
Both training regimes lead to degraded performance in our models, yet we do find that learning with generated data is possible and models can successfully learn (some of) the underlying task. In particular, from Fig.1and their 3D versions in theSupplementary Materials, we see that model collaps...
Images generated with our code use theinvisible-watermarklibrary to embed an invisible watermark into the model output. We also provide a script to easily detect that watermark. Please note that this watermark is not the same as in previous Stable Diffusion 1.x/2.x versions. ...
While they seem like they’ve always been there, the very first realistic deepfake didn’t appear until 2017. It went from the first-ever resembling fake images automatically generated to today’s identical copy of someone on videos, with sound. ...
generated images using technology that functioned like autocomplete on smartphones, creating pictures by using probability to decide which pixels should come next based on what came before. Dall-E 2, its successor, takes a different approach called a diffusion model, which generates pictures from ...