2 citations · 2 across the 4 of their papers we have counts for
5 papers
MegaParts: Scaling Part-Aware 3D Object Generation to 300 Parts via Token-Efficient Autoregressive Modeling
Manwen Liao, Xinyu Lian, Jian Mao +11
Part-aware 3D object generation is essential for graphics applications such as controllable modeling, editing, and articulation, where objects are represented as coherent assemblie…
Posterior Continuation with Noise-Conditioned Frequency Exposure for Diffusion Inverse Problems
Feng Tian, Yixuan Li, Weili Zeng +3
Diffusion posterior sampling solves inverse problems by combining a pretrained diffusion prior with measurement-consistency guidance. However, full-band guidance can be unreliable…
Disentangled Clothed Avatar Generation with Layered Representation
Weitian Zhang, Yichao Yan, Sijing Wu +2
Clothed avatar generation has wide applications in virtual and augmented reality, filmmaking, and more. Previous methods have achieved success in generating diverse digital avatars…
Gen: Efficient, Expressive and Editable Avatars Generation
Weitian Zhang, Yichao Yan, Yunhui Liu +2
This paper aims to introduce 3D Gaussian for efficient, expressive, and editable digital avatar generation. This task faces two major challenges: (1) The unstructured nature of 3D…
SingingHead: A Large-scale 4D Dataset for Singing Head Animation
Sijing Wu, Yunhao Li, Weitian Zhang +5
Singing, as a common facial movement second only to talking, can be regarded as a universal language across ethnicities and cultures, plays an important role in emotional communica…