24 citations · 52 across the 15 of their papers we have counts for
7 papers · 1 filter
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
Zhengguang Zhou, Jing Li, Huaxia Li +2
Tuning-free personalized image generation methods have achieved significant success in maintaining facial consistency, i.e., identities, even with multiple characters. However, the…
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
Cunzheng Wang, Ziyuan Guo, Yuxuan Duan +4
Consistency distillation methods have demonstrated significant success in accelerating generative tasks of diffusion models. However, since previous consistency distillation method…
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer
Jinpeng Yu, Binbin Huang, Yuxuan Zhang +3
Point cloud completion aims to recover accurate global geometry and preserve fine-grained local details from partial point clouds. Conventional methods typically predict unseen poi…
Unified Video-Language Pre-training with Synchronized Audio
Shentong Mo, Haofan Wang, Huaxia Li +1
Video-language pre-training is a typical and challenging problem that aims at learning visual and textual representations from large-scale data in a self-supervised way. Existing p…
StableGarment: Garment-Centric Generation via Stable Diffusion
Rui Wang, Hailong Guo, Jiaming Liu +6
In this paper, we introduce StableGarment, a unified framework to tackle garment-centric(GC) generation tasks, including GC text-to-image, controllable GC text-to-image, stylized G…
Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model
Yuxuan Zhang, Yirui Yuan, Yiren Song +1
Current makeup transfer methods are limited to simple makeup styles, making them difficult to apply in real-world scenarios. In this paper, we introduce Stable-Makeup, a novel diff…
InstantID: Zero-shot Identity-Preserving Generation in Seconds
Qixun Wang, Xu Bai, Haofan Wang +5
There has been significant progress in personalized image synthesis with methods such as Textual Inversion, DreamBooth, and LoRA. Yet, their real-world applicability is hindered by…