Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior

no code implementations • 16 Apr 2024 • Yiqian Wu, Hao Xu, Xiangjun Tang, Xien Chen, Siyu Tang, Zhebin Zhang, Chen Li, Xiaogang Jin

Existing neural rendering-based text-to-3D-portrait generation methods typically make use of human geometry prior and diffusion models to obtain guidance.

Neural Rendering Text to 3D

IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions

no code implementations • 30 Nov 2023 • Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, Zhao Cao

In this paper, we propose an Induction-Augmented Generation (IAG) framework that utilizes inductive knowledge along with the retrieved documents for implicit reasoning.

Knowledge Distillation Retrieval +1

BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention

no code implementations • 9 Nov 2020 • Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen

In this work, we propose a novel BERT-enhanced NMT model called BERT-JAM which improves upon existing models from two aspects: 1) BERT-JAM uses joint-attention modules to allow the encoder/decoder layers to dynamically allocate attention between different representations, and 2) BERT-JAM allows the encoder/decoder layers to make use of BERT's intermediate representations by composing them using a gated linear unit (GLU).

Machine Translation NMT +1