datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AIGC_LipSync_Benchmark
AIGC-LipSync Benchmark
📋 Overview
AIGC-LipSync Benchmark is a comprehensive evaluation benchmark specifically designed for lip synchronization in AI-Generated Content (AIGC). This benchmark consists of 615 high-quality videos covering a wide spectrum of visual representations, from realistic humans to stylized characters, enabling thorough assessment of lip synchronization methods across diverse AI-generated video scenarios.
🎯 Key Features
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ZiqiaoPeng/AIGC_LipSync_Benchmark.wan-lipsync-envorislop-ami-lipsync-data
Orislop AMI lip-sync source data
This repository mirrors an acquisition-capped subset of the official
AMI Meeting Corpus for reproducible
Orislop audio-visual synchronization research.
It contains:
low-size AMI close-up AVI video streams;
corresponding individual headset WAV streams;
SHA-256 provenance records;
the official camera/headset mapping snapshot and generated clip manifests
after local acquisition completes.
Files are uploaded only after a local download finishes and… See the full description on the dataset page: https://huggingface.co/datasets/gonnerthetooner/orislop-ami-lipsync-data.lipsync-hdtf-training-data
Lipsync Training Data
Preprocessed datasets for audio-driven lip-sync model training, generated from the HDTF (High-Definition Talking Face) dataset.
Contents
1. xdub_teacher_pairs/ (1.3 GB)
1,449 same-speaker lip-synced video pairs generated by X-Dub (Wan2.2-TI2V-5B release).
Each pair consists of:
Source video: an HDTF clip of speaker S saying utterance A
Teacher output: X-Dub's lip-synced version of the same clip with audio from a different utterance B by… See the full description on the dataset page: https://huggingface.co/datasets/Pinch-Research/lipsync-hdtf-training-data.lipsync_cleanlipsynclipsync-studiolipsync_loraLipSyncDBdpo-ds-lipsyncx96_lipsync_tiltlipsync-field-guide
Audio-Driven Lip Synchronization & Face Animation: A Comprehensive Field Guide
Prepared for: NeuralNoble — Company R&DScope: Everything you need to understand the lip-sync / talking-head field — from foundational papers to cutting-edge diffusion methods, including architectures, losses, datasets, training recipes, and practical recommendations.
Comprehensive analysis of 9 papers spanning 2020-2024, covering the complete evolution from GAN-based methods to end-to-end latent… See the full description on the dataset page: https://huggingface.co/datasets/NeuralNoble/lipsync-field-guide.avatar-lipsync-hookslipsync_dataset