6 papers
Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset
Yuhai Deng, Huimin She, Wei Shen +4
Tone style transfer for photo retouching aims to adapt the stylistic tone of the reference image to a given content image. However, the lack of high-quality large-scale triplet dat…
Unified Text-Image-to-Video Generation: A Training-Free Approach to Flexible Visual Conditioning
Bolin Lai, Sangmin Lee, Xu Cao +2
Text-image-to-video (TI2V) generation is a critical problem for controllable video generation using both semantic and visual conditions. Most existing methods typically add visual…
InEdit-Bench: Benchmarking Intermediate Logical Pathways for Intelligent Image Editing Models
Zhiqiang Sheng, Xumeng Han, Zhiwei Zhang +6
Multimodal generative models have made significant strides in image editing, demonstrating impressive performance on a variety of static tasks. However, their proficiency typically…
Vinedresser3D: Agentic Text-guided 3D Editing
Yankuan Chi, Xiang Li, Zixuan Huang +1
Text-guided 3D editing aims to modify existing 3D assets using natural-language instructions. Current methods struggle to jointly understand complex prompts, automatically localize…
How Much 3D Do Video Foundation Models Encode?
Zixuan Huang, Xiang Li, Zhaoyang Lv +1
Videos are continuous 2D projections of 3D worlds. After training on large video data, will global 3D understanding naturally emerge? We study this by quantifying the 3D understand…
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
Xiang Li, Zirui Wang, Zixuan Huang +1
Humans and traditional computer vision methods rely on a diverse set of monocular cues to infer 3D structure from a single image, such as shading, texture, silhouette, etc. While r…