189 citations · 359 across the 29 of their papers we have counts for
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cs.CV2023
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning
Chao Xu, Junwei Zhu, Jiangning Zhang +6
Recently, emotional talking face generation has received considerable attention. However, existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus la…
cs.CV2023★ 4 cited
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator
Chao Xu, Shaoting Zhu, Junwei Zhu +4
Multimodal-driven talking face generation refers to animating a portrait with the given pose, expression, and gaze transferred from the driving image and video, or estimated from t…
cs.CV2023★ 1 cited
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han, Jiangning Zhang, Yabiao Wang +5
Few-Shot Instance Segmentation (FSIS) requires detecting and segmenting novel classes with limited support examples. Existing methods based on Region Proposal Networks (RPNs) face…