arXiv Open Access 2026

Landmark Guided 4D Facial Expression Generation

Xin Lu Zhengda Lu Yiqun Wang Jun Xiao

Lihat Sumber

Abstrak

In this paper, we proposed a generative model that learns to synthesize the 4D facial expression with the neutral landmark. Existing works mainly focus on the generation of sequences guided by expression labels, speech, etc, while they are not robust to the change of different identities. Our LM-4DGAN utilizes neutral landmarks to guide the facial expression generation while adding an identity discriminator and a landmark autoencoder to the basic WGAN for achieving better identity robustness. Furthermore, we add a cross-attention mechanism to the existing displacement decoder which is suitable for the given identity.

Topik & Kata Kunci

cs.GR

Penulis (4)

Xin Lu

Zhengda Lu

Yiqun Wang

Jun Xiao

Format Sitasi

APA MLA BibTeX

Lu, X., Lu, Z., Wang, Y., Xiao, J. (2026). Landmark Guided 4D Facial Expression Generation. https://arxiv.org/abs/2603.10337

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2026
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓