The project id projectId integer The project id Service type filter stlfilter integer Service type filter Filter by engine enginefilter string Filter by engine API version header X-Api-Version True string API version header Returns response array of AIForged.ViewModels.ParameterDefViewModel Get...
Asset Generator Import and use various types of assets you have. If you don't have 3D assets, you can create your own 3D assets using the Glinda Scan App. You can also generate creative assets directly using the built-in Gen AI. 02 Create XR content quickly and easily Content Creator Ea...
Asset Generator Import and use various types of assets you have. If you don't have 3D assets, you can create your own 3D assets using the Glinda Scan App. You can also generate creative assets directly using the built-in Gen AI.
ULMFiT Universal Language Model Fine-Tuning V-Net Volumetric Convolutional neural network 3D image segmentation based on a volumetric fully convolutional neural network VAD Voice Activity Detection VAE Variational AutoEncoder An artificial neural network architecture belonging to the families of probabilistic...
();SchemaGeneratorgenerator=newSchemaGenerator(config);JsonNodejsonSchema=generator.generateSchema(GetWeatherParam.class);JSONObjectjsonObject=JSONObject.parseObject(jsonSchema.toString());CreateChatCompletionRequestchatCompletionRequest=CreateChatCompletionRequest.builder() .messages(messages) .model("gpt-3.5-...
Styleformer在CIFAR-10这个基准数据集上达到了FID 2.82和IS 9.94,与目前最先进性能相当,超过了所有基于GAN的生成模型,包括在无条件设置下参数较少的StyleGAN2-ADA,在STL-10和CelebA上分别以FID 20.11、IS 10.16和FID 3.66达到了新的最先进水平。 We propose Styleformer, which is a style-basedgeneratorfor GAN ...
and variation based on the recognition of a mathematical pattern by the AI image generator model as was the case of the bone tissue chairs, but to provide a tessellation or assembly method of these pearls following a complex biobehavioral, biomathematical logic of 3D reaction–diffusion in space...
尽管在开发视觉任务如图像和视频方面,Masked Autoencoders(MAE)取得了巨大进步,但由于固有的不规则性,探索大规模3D点云中的MAE仍然具有挑战性。与之前的3D MAE框架相比(设计复杂的解码器从维护区域推断掩蔽信息或采用复杂的掩蔽策略),提出了一种更简单的范例。 核心思想是应用生成解码器MAE(GD-MAE)自动将周围上下文...
9、Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis 任意尺寸图像生成(Any-scale image synthesis)提供了一种高效和可扩展的解决方案,可以在任何比例下合成逼真的图像,甚至超过2K分辨率。然而,现有的基于GAN的解决方案过度依赖卷积和分层架构,在缩放输出分辨率时会导致不一致和“纹理粘合”问...
1000- AGE: 论文代码,原文:对抗生成编码器网络(Adversarial Generator-Encoder Networks)。 1000- ResNeXt.pytorch: 再现 ResNet-V3 (深度神经网络的聚集残差变换)。 1000- pytorch-rl: 基于PyTorch和Visdom的深度强化学习。 1000- Deep-Leafsnap: 对比传统的计算机视觉方法,使用深度神经网络的LeafSnap能有效提高测试准确...