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most citedUniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control

1 citations · 1 across the 13 of their papers we have counts for

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cs.CV2024★ 1 cited

UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control

Wenzhang Sun, Xiang Li, Donglin Di +5

Recently, animating portrait images using audio input is a popular task. Creating lifelike talking head videos requires flexible and natural movements, including facial and head dy…

cs.CV2024

TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt

Jiahui Yang, Donglin Di, Baorui Ma +8

In recent years, advancements in generative models have significantly expanded the capabilities of text-to-3D generation. Many approaches rely on Score Distillation Sampling (SDS)…

cs.CV2024

DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation

Donglin Di, He Feng, Wenzhang Sun +6

Human-centric generative models are becoming increasingly popular, giving rise to various innovative tools and applications, such as talking face videos conditioned on text or audi…

cs.CV2024

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors

Xiangchen Yin, Donglin Di, Lei Fan +6

Recent methods using diffusion models have made significant progress in human image generation with various control signals such as pose priors. However, existing efforts are still…

cs.CV2024

Real Face Video Animation Platform

Xiaokai Chen, Xuan Liu, Donglin Di +3

In recent years, facial video generation models have gained popularity. However, these models often lack expressive power when dealing with exaggerated anime-style faces due to the…

cs.CV2024

One-Shot Pose-Driving Face Animation Platform

He Feng, Donglin Di, Yongjia Ma +2

The objective of face animation is to generate dynamic and expressive talking head videos from a single reference face, utilizing driving conditions derived from either video or au…

cs.CV2024

Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph

Donglin Di, Jiahui Yang, Chaofan Luo +4

Text-to-3D generation represents an exciting field that has seen rapid advancements, facilitating the transformation of textual descriptions into detailed 3D models. However, curre…