5 citations · 5 across the 8 of their papers we have counts for
11 papers
Two Halves are More than One: Phase-wise Velocity Distillation for Fast and High-Quality Image Generation
Zhen Guo, Rongyuan Wu, Qiaosi Yi +3
Recent diffusion-based image generation backbones have grown substantially in scale, making the network inference cost increase rapidly. While diffusion distillation techniques can…
Text-Vision Co-Instructed Image Editing
Chenxi Xie, Yuhui Wu, Qiaosi Yi +1
Existing image editing methods can be generally categorized into textual instruction-based and visual prompt-based ones. Textual instructions are semantically expressive, but are l…
CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning
Yuhui Wu, Chenxi Xie, Ruibin Li +3
Image editing has achieved impressive results with the development of large-scale generative models. However, existing models mainly focus on the editing effects of intended object…
T2M Mamba: Motion Periodicity-Saliency Coupling Approach for Stable Text-Driven Motion Generation
Xingzu Zhan, Chen Xie, Honghang Chen +2
Text-to-motion generation, which converts motion language descriptions into coherent 3D human motion sequences, has attracted increasing attention in fields, such as avatar animati…
DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
Chenxi Xie, Minghan Li, Shuai Li +3
Leveraging the powerful generation capability of large-scale pretrained text-to-image models, training-free methods have demonstrated impressive image editing results. Conventional…
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
Xin Li, Yeying Jin, Xin Jin +134
This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images. This challenge received a wide range of impressive solutions, which are devel…
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction
Yuhui Wu, Liyi Chen, Ruibin Li +3
Instruction-based video editing allows effective and interactive editing of videos using only instructions without extra inputs such as masks or attributes. However, collecting hig…
MaSS13K: A Matting-level Semantic Segmentation Benchmark
Chenxi Xie, Minghan Li, Hui Zeng +2
High-resolution semantic segmentation is essential for applications such as image editing, bokeh imaging, AR/VR, etc. Unfortunately, existing datasets often have limited resolution…
FiVE: A Fine-grained Video Editing Benchmark for Evaluating Emerging Diffusion and Rectified Flow Models
Minghan Li, Chenxi Xie, Yichen Wu +2
Numerous text-to-video (T2V) editing methods have emerged recently, but the lack of a standardized benchmark for fair evaluation has led to inconsistent claims and an inability to…
Linear Multi-granular Body Modeling for Text-Driven Motion Generation
Xingzu Zhan, Chen Xie, Genpei Zhang +3
Text-to-motion generation is a rapidly growing field at the nexus of multimodal learning and computer graphics, enabling flexible and cost-effective applications in gaming, animati…
Language-Driven Interactive Traffic Trajectory Generation
Junkai Xia, Chenxin Xu, Qingyao Xu +3
Realistic trajectory generation with natural language control is pivotal for advancing autonomous vehicle technology. However, previous methods focus on individual traffic particip…