Search Results for author:
Found 7 papers, 3 papers with code
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models
Customization generation techniques have significantly advanced the synthesis of specific concepts across varied contexts.
SmoothVideo: Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning
By applying the loss to existing one-shot video tuning methods, we significantly improve the overall consistency and smoothness of the generated videos.
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
The existing method performs well at video segmentation stages but suffers from the problems of dependencies on extra cumbersome models and poor performance at the segment assemblage stage.
Overview of Tencent Multi-modal Ads Video Understanding Challenge
Our challenge includes two tasks: video structuring in the temporal dimension and multi-modal video classification.
Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation
Therefore, TAVS is distinguished from previous temporal segmentation datasets due to its multi-modal information, holistic view of categories, and hierarchical granularities.
Local Conditional Controlling for Text-to-Image Diffusion Models
In this paper, we introduce a new simple yet practical task setting: local control.
DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation
However, many of these works face challenges in identifying correct output modalities and generating coherent images accordingly as the number of output modalities increases and the conversations go deeper.
