Summary of Accelerating Diffusion Models with One-to-many Knowledge Distillation, by Linfeng Zhang et al.
Accelerating Diffusion Models with One-to-Many Knowledge Distillationby Linfeng Zhang, Kaisheng MaFirst submitted to arxiv on:…
Accelerating Diffusion Models with One-to-Many Knowledge Distillationby Linfeng Zhang, Kaisheng MaFirst submitted to arxiv on:…
Estimating Body and Hand Motion in an Ego-sensed Worldby Brent Yi, Vickie Ye, Maya Zheng,…
SteerDiff: Steering towards Safe Text-to-Image Diffusion Modelsby Hongxiang Zhang, Yifeng He, Hao ChenFirst submitted to…
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Imagesby Cheng Zhang, Yuanhao…
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networksby Yue…
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injectionby Yuhang Ma, Wenting Xu,…
CausalVE: Face Video Privacy Encryption via Causal Video Predictionby Yubo Huang, Wenhao Feng, Xin Lai,…
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion Modelby Hongliang Zhong, Can Wang,…
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Modelsby Xin Jing,…