5 papers · 1 filter
QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation
Jiahui Yang, Yongjia Ma, Donglin Di +6
Existing text-to-image models often rely on parameter fine-tuning techniques such as Low-Rank Adaptation (LoRA) to customize visual attributes. However, when combining multiple LoR…
UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation
Wenzhang Sun, Qirui Hou, Donglin Di +3
Diffusion Transformers (DiT) excel in video generation but encounter significant computational challenges due to the quadratic complexity of attention. Notably, attention differenc…
MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
Huaize Liu, Wenzhang Sun, Donglin Di +4
The generation of talking avatars has achieved significant advancements in precise audio synchronization. However, crafting lifelike talking head videos requires capturing a broad…
Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph
Donglin Di, Jiahui Yang, Chaofan Luo +4
Text-to-3D generation represents an exciting field that has seen rapid advancements, facilitating the transformation of textual descriptions into detailed 3D models. However, curre…
TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt
Jiahui Yang, Donglin Di, Baorui Ma +8
In recent years, advancements in generative models have significantly expanded the capabilities of text-to-3D generation. Many approaches rely on Score Distillation Sampling (SDS)…