activity
20222026
most citedProgressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

PuYun-LDM: A Latent Diffusion Model for High-Resolution Ensemble Weather Forecasts

Lianjun Wu, Shengchen Zhu, Yuxuan Liu +7

Latent diffusion models (LDMs) suffer from limited diffusability in high-resolution (<=0.25°) ensemble weather forecasting, where diffusability characterizes how easily a latent da…

cs.CV2024

Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer

Yu Deng, Duomin Wang, Baoyuan Wang

In this paper, we propose a novel learning approach for feed-forward one-shot 4D head avatar synthesis. Different from existing methods that often learn from reconstructing monocul…

cs.CV2023

PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns

Shuliang Ning, Duomin Wang, Yipeng Qin +3

In this paper, we propose a novel virtual try-on from unconstrained designs (ucVTON) task to enable photorealistic synthesis of personalized composite clothing on input human image…

cs.CV2023★ 1 cited

AgentAvatar: Disentangling Planning, Driving and Rendering for Photorealistic Avatar Agents

Duomin Wang, Bin Dai, Yu Deng +1

In this study, our goal is to create interactive avatar agents that can autonomously plan and animate nuanced facial movements realistically, from both visual and behavioral perspe…

cs.CV2023

Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data

Yu Deng, Duomin Wang, Xiaohang Ren +2

Existing one-shot 4D head synthesis methods usually learn from monocular videos with the aid of 3DMM reconstruction, yet the latter is evenly challenging which restricts them from…

cs.GR2022★ 1 cited

Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors

Zhentao Yu, Zixin Yin, Deyu Zhou +3

In this paper, we introduce a simple and novel framework for one-shot audio-driven talking head generation. Unlike prior works that require additional driving sources for controlle…

cs.CV2022★ 3 cited

Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis

Duomin Wang, Yu Deng, Zixin Yin +2

We present a novel one-shot talking head synthesis method that achieves disentangled and fine-grained control over lip motion, eye gaze&blink, head pose, and emotional expression.…