most citedHigh-Fidelity and Long-Duration Human Image Animation with Diffusion Transformer

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20251 cited

High-Fidelity and Long-Duration Human Image Animation with Diffusion Transformer

Shen Zheng, Jiaran Cai, Yuansheng Guan +7

Recent progress in diffusion models has significantly advanced the field of human image animation. While existing methods can generate temporally consistent results for short or re…

cs.CV2025

Playmate2: Training-Free Multi-Character Audio-Driven Animation via Diffusion Transformer with Reward Feedback

Xingpei Ma, Shenneng Huang, Jiaran Cai +5

Recent advances in diffusion models have significantly improved audio-driven human video generation, surpassing traditional methods in both quality and controllability. However, ex…

cs.CV2025

Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion

Xingpei Ma, Jiaran Cai, Yuansheng Guan +3

Recent diffusion-based talking face generation models have demonstrated impressive potential in synthesizing videos that accurately match a speech audio clip with a given reference…

eess.AS2024

Debatts: Zero-Shot Debating Text-to-Speech Synthesis

Yiqiao Huang, Yuancheng Wang, Jiaqi Li +4

In debating, rebuttal is one of the most critical stages, where a speaker addresses the arguments presented by the opposing side. During this process, the speaker synthesizes their…

cs.SD2024

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer

Yuancheng Wang, Haoyue Zhan, Liwei Liu +7

The recent large-scale text-to-speech (TTS) systems are usually grouped as autoregressive and non-autoregressive systems. The autoregressive systems implicitly model duration but e…