19 papers
WearWow: Native 2K Multi-Garment Virtual Try-On via Adaptive Token Packing and Preference Alignment
Xujie Zhang, Runyan Du, Song Chang +7
Synthesizing native 2K multi-garment virtual try-on is a formidable frontier in digital fashion, critically bottlenecked by two fundamental limitations: the O(N^2) memory explosion…
StructGen: Disambiguating Multi-Reference Image Generation via Structured Context Modeling
Jianing Peng, Mengyu Wang, Henghui Ding +6
Multi-reference image generation aims to synthesize images by integrating attributes from multiple reference images under textual instructions. As the number of references increase…
The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation
Zijie Lou, Youyun Tang, Xiaochao Qu +40
This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition under…
FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
Zekang Zhang, Guangyu Gao, Youyun Tang +7
LLM-conditioned segmentation has recently advanced rapidly by coupling large language models with iterative mask generation frameworks. However, we identify a persistent failure mo…
Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Editing via In-Context Learning
Hongxi Li, Tong Wang, Chengjing Wu +6
Scene text editing aims to modify text in a target region of an image while preserving surrounding background style and texture. Existing methods rely solely on image background in…
MiVE: Multiscale Vision-language features for reference-guided video Editing
Tong Wang, Meng Zou, Chengjing Wu +4
Reference-guided video editing takes a source video, a text instruction, and a reference image as inputs, requiring the model to faithfully apply the instructed edits while preserv…
PortraitCraft: A Benchmark for Portrait Composition Understanding and Generation
Yuyang Sha, Zijie Lou, Youyun Tang +6
Portrait composition plays a central role in portrait aesthetics and visual communication, yet existing datasets and benchmarks mainly focus on coarse aesthetic scoring, generic im…
On Exact Editing of Flow-Based Diffusion Models
Zixiang Li, Yue Song, Jianing Peng +7
Recent methods in flow-based diffusion editing have enabled direct transformations between source and target image distribution without explicit inversion. However, the latent traj…
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
Zijie Lou, Xiangwei Feng, Jiaxin Wang +7
Existing video object removal methods predominantly rely on diffusion models following a noise-to-data paradigm, where generation starts from uninformative Gaussian noise. This app…
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
Jun Huang, Ting Liu, Yihang Wu +3
Advancements in generative models have enabled image inpainting models to generate content within specific regions of an image based on provided prompts and masks. However, existin…
AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment
Yiheng Lin, Shifang Zhao, Ting Liu +4
Personalized image generation aims to integrate user-provided concepts into text-to-image models, enabling the generation of customized content based on a given prompt. Recent zero…
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing
Tong Wang, Ting Liu, Xiaochao Qu +3
Scene text editing, a subfield of image editing, requires modifying texts in images while preserving style consistency and visual coherence with the surrounding environment. While…
EVPGS: Enhanced View Prior Guidance for Splatting-based Extrapolated View Synthesis
Jiahe Li, Feiyu Wang, Xiaochao Qu +3
Gaussian Splatting (GS)-based methods rely on sufficient training view coverage and perform synthesis on interpolated views. In this work, we tackle the more challenging and undere…
DCEdit: Dual-Level Controlled Image Editing via Precisely Localized Semantics
Yihan Hu, Jianing Peng, Yiheng Lin +5
This paper presents a novel approach to improving text-guided image editing using diffusion-based models. Text-guided image editing task poses key challenge of precisly locate and…
Memory Efficient Matting with Adaptive Token Routing
Yiheng Lin, Yihan Hu, Chenyi Zhang +5
Transformer-based models have recently achieved outstanding performance in image matting. However, their application to high-resolution images remains challenging due to the quadra…
Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching
Minghao Liu, Le Zhang, Yingjie Tian +3
Recent advances in text-to-image diffusion models have demonstrated impressive capabilities in image quality. However, complex scene generation remains relatively unexplored, and e…
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?
Chen Liang, Qiang Guo, Xiaochao Qu +2
Video segmentation aims at partitioning video sequences into meaningful segments based on objects or regions of interest within frames. Current video segmentation models are often…
TextMastero: Mastering High-Quality Scene Text Editing in Diverse Languages and Styles
Tong Wang, Xiaochao Qu, Ting Liu
Scene text editing aims to modify texts on images while maintaining the style of newly generated text similar to the original. Given an image, a target area, and target text, the t…
SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
Chongkai Yu, Ting Liu, Anqi Li +4
Interactive segmentation is to segment the mask of the target object according to the user's interactive prompts. There are two mainstream strategies: early fusion and late fusion.…