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kaldi-asr/kaldi is the official location of the Kaldi project.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Ongoing research training transformer models at scale
A multi-voice TTS system trained with an emphasis on quality
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…
🔊 Text-Prompted Generative Audio Model
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Code repository for the paper "On the Benefits of 3D Pose and Tracking for Human Action Recognition", (CVPR 2023)
"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
Code for "SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation" (ECCV 2020)
Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.
Standardized Serverless ML Inference Platform on Kubernetes
Specify what you want it to build, the AI asks for clarification, and then builds it.
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
[CVPR 2023] Learning Locally Editable Virtual Humans
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
Learning to Transfer Texture from Clothing Images to 3D Humans, CVPR 2020
CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"
Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]