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Average Ratings 0 Ratings
Description
ESMFold2 builds upon its predecessor, ESMFold, by establishing a new benchmark in single-sequence structure prediction and facilitating the creation of novel functional proteins via exploration of the latent space within the ESMC model. This advanced model is capable of forecasting high-resolution, all-atom 3D structures of biomolecular complexes straight from the amino acid sequence, and it allows for the incorporation of multiple sequence alignments to improve accuracy on difficult targets. Tailored for predicting structures through both sequence and structure modalities, it employs ESM representations that drive a series of looped folding layers while a diffusion model translates pairwise representations into atomic-resolution outcomes. ESMFold2 excels in predicting protein structures from amino acid sequences, providing detailed structural data, including precise all-atom coordinates for both backbone and side chains, along with confidence metrics and optional distogram predictions for in-depth structural evaluation. Furthermore, its innovative approach enhances the understanding of protein folding dynamics and functional implications, making it a valuable tool for researchers in the field.
Description
Hunyuan Motion, often referred to as HY-Motion 1.0, represents an advanced AI model designed for transforming text into 3D motion, utilizing a billion-parameter Diffusion Transformer combined with flow matching techniques to create high-quality, skeleton-based animations in mere seconds. This innovative system comprehends detailed descriptions in both English and Chinese, allowing it to generate fluid and realistic motion sequences that can easily integrate into typical 3D animation workflows by exporting into formats like SMPL, SMPLH, FBX, or BVH, which are compatible with software such as Blender, Unity, Unreal Engine, and Maya. Its sophisticated training approach includes a three-phase pipeline: extensive pre-training on thousands of hours of motion data, meticulous fine-tuning on selected sequences, and reinforcement learning informed by human feedback, all of which significantly boost its capacity to interpret intricate commands and produce motion that is not only realistic but also temporally coherent. This model stands out for its ability to adapt to various animation styles and requirements, making it a versatile tool for creators in the gaming and film industries.
API Access
Has API
API Access
Has API
Integrations
Biohub
Blender
GitHub
Hugging Face
Imagen3D
Maya
Python
Unity
Unreal Engine
arXiv
Integrations
Biohub
Blender
GitHub
Hugging Face
Imagen3D
Maya
Python
Unity
Unreal Engine
arXiv
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Biohub
Founded
2016
Country
United States
Website
biohub.ai/models/esmfold2
Vendor Details
Company Name
Tencent Hunyuan
Founded
1998
Country
China
Website
hunyuan.tencent.com