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20212026
most citedJoint Learning Content and Degradation Aware Feature for Blind Super-Resolution

14 citations · 72 across the 22 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 1 cited

HiFiVFS: High Fidelity Video Face Swapping

Xu Chen, Keke He, Junwei Zhu +3

Face swapping aims to generate results that combine the identity from the source with attributes from the target. Existing methods primarily focus on image-based face swapping. Whe…

cs.CV2024

SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model

Weipeng Tan, Chuming Lin, Chengming Xu +5

Talking Head Generation (THG), typically driven by audio, is an important and challenging task with broad application prospects in various fields such as digital humans, film produ…

cs.CV2024

RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network

Xiaozhong Ji, Chuming Lin, Zhonggan Ding +6

Person-generic audio-driven face generation is a challenging task in computer vision. Previous methods have achieved remarkable progress in audio-visual synchronization, but there…

cs.CV2024★ 1 cited

Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control

Yue Han, Junwei Zhu, Keke He +7

Current face reenactment and swapping methods mainly rely on GAN frameworks, but recent focus has shifted to pre-trained diffusion models for their superior generation capabilities…

cs.CV2024

Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability

Xuelin Qian, Yu Wang, Simian Luo +9

Auto-regressive models have achieved impressive results in 2D image generation by modeling joint distributions in grid space. In this paper, we extend auto-regressive models to 3D…