Reformulates evaluation of audio-driven talking head generation as a sequence alignment problem using Soft DTW, showing improved robustness and consistency across 20 methods and seven datasets.
Memo: Memory-guided diffusion for expressive talking video generation
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
verdicts
UNVERDICTED 4roles
dataset 1polarities
use dataset 1representative citing papers
Deepfake detectors act as alpha blending searchers; training solely on self-blended real images yields top cross-dataset generalization on 15 datasets without using synthetic deepfakes.
AUHead uses audio-language models to generate Action Unit sequences from speech and feeds them into a controllable diffusion model to synthesize realistic emotional talking-head videos.
Matrix-Game 2.0 introduces a scalable data pipeline, action-injection module, and few-step distillation to enable real-time streaming video generation at 25 FPS from game-engine interactions, with open-sourced weights and code.
citing papers explorer
-
Temporally-Aligned Evaluation for Audio-Driven Talking Head Generation
Reformulates evaluation of audio-driven talking head generation as a sequence alignment problem using Soft DTW, showing improved robustness and consistency across 20 methods and seven datasets.
-
The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection
Deepfake detectors act as alpha blending searchers; training solely on self-blended real images yields top cross-dataset generalization on 15 datasets without using synthetic deepfakes.
-
AUHead: Realistic Emotional Talking Head Generation via Action Units Control
AUHead uses audio-language models to generate Action Unit sequences from speech and feeds them into a controllable diffusion model to synthesize realistic emotional talking-head videos.
-
Matrix-game 2.0: An open-source real-time and streaming interactive world model
Matrix-Game 2.0 introduces a scalable data pipeline, action-injection module, and few-step distillation to enable real-time streaming video generation at 25 FPS from game-engine interactions, with open-sourced weights and code.