16 citations · 61 across the 20 of their papers we have counts for
5 papers · 1 filter
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
Zhengqiang Zhang, Ruihuang Li, Lei Zhang
While image generation with diffusion models has achieved a great success, generating images of higher resolution than the training size remains a challenging task due to the high…
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding
Ruihuang Li, Zhengqiang Zhang, Chenhang He +3
Recent vision-language pre-training models have exhibited remarkable generalization ability in zero-shot recognition tasks. Previous open-vocabulary 3D scene understanding methods…
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing
Ruihuang Li, Liyi Chen, Zhengqiang Zhang +3
Text-based 2D diffusion models have demonstrated impressive capabilities in image generation and editing. Meanwhile, the 2D diffusion models also exhibit substantial potentials for…
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
Ruibin Li, Ruihuang Li, Song Guo +1
Text-driven diffusion models have significantly advanced the image editing performance by using text prompts as inputs. One crucial step in text-driven image editing is to invert t…
ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention
Chenhang He, Ruihuang Li, Guowen Zhang +1
Window-based transformers excel in large-scale point cloud understanding by capturing context-aware representations with affordable attention computation in a more localized manner…