7 papers
Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation
Shifeng Chen, Yihui Li, Jun Liao +2
Recent advances in 3D scene editing using NeRF and 3DGS enable high-quality static scene editing. In contrast, dynamic scene editing remains challenging, as methods that directly e…
RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models
Yufeng Yang, Xianfang Zeng, Zhangqi Jiang +8
Image restoration under real-world degradations is critical for downstream tasks such as autonomous driving and object detection. However, existing restoration models are often lim…
RoamScene3D: Immersive Text-to-3D Scene Generation via Adaptive Object-aware Roaming
Jisheng Chu, Wenrui Li, Rui Zhao +3
Generating immersive 3D scenes from texts is a core task in computer vision, crucial for applications in virtual reality and game development. Despite the promise of leveraging 2D…
TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models
Yuqi Peng, Lingtao Zheng, Yufeng Yang +4
Personalized text-to-image generation aims to synthesize novel images of a specific subject or style using only a few reference images. Recent methods based on Low-Rank Adaptation…
DIVE: Taming DINO for Subject-Driven Video Editing
Yi Huang, Wei Xiong, He Zhang +4
Building on the success of diffusion models in image generation and editing, video editing has recently gained substantial attention. However, maintaining temporal consistency and…
GLAD: Generalizable Tuning for Vision-Language Models
Yuqi Peng, Pengfei Wang, Jianzhuang Liu +1
Pre-trained vision-language models, such as CLIP, show impressive zero-shot recognition ability and can be easily transferred to specific downstream tasks via prompt tuning, even w…