8 papers
StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
Bao Tang, Jiahao Guo, Haoxiang Cao +4
Vector Quantization (VQ) is fundamental to discrete visual tokenizers that power modern autoregressive and masked image generation models. While recent shared-projection codebook m…
Dior: Drawing the Light of Image via Material-Decoupled Illumination Representation
Xuanpu Zhang, Xuesong Niu, Haoxiang Cao +4
Controllable image relighting is an important problem in image editing, and hand-drawn scribbles provide an intuitive interface for specifying the desired illumination. However, ex…
DARS: Dual-Level Credit Assignment RL with Structured Reasoning for Instruction-Based Image Editing
Haoxiang Cao, Jiajiong Cao, Xuanpu Zhang +2
Instruction-based image editing uses a planner-renderer pipeline: a vision-language model (VLM) first converts the instruction into an edit plan, and a diffusion model then execute…
ReLo-IRR: Reflection-Guided LoRA Framework for Image Reflection Removal
Chaoqun Wang, Yuehuan Wei, Haoxiang Cao +1
Single-image reflection removal (SIRR) aims to recover the clean transmission layer from a reflection-contaminated image. Although recent methods achieve promising results with lar…
Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback
Huaisong Zhang, Hao Yu, Yuxuan Zhang +7
Despite generating increasingly photorealistic images, text-to-image (T2I) models still exhibit localized, subtle, and structurally complex failures. Diagnosing these failures requ…
Visual Generation Tuning
Jiahao Guo, Sinan Du, Jingfeng Yao +7
Large Vision Language Models (VLMs) effectively bridge the modality gap through extensive pretraining, acquiring sophisticated visual representations aligned with language. However…
A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space
Huijie Liu, Shuhao Cui, Haoxiang Cao +3
Innovative visual stylization is a cornerstone of artistic creation, yet generating novel and consistent visual styles remains a significant challenge. Existing generative approach…
Group Relative Attention Guidance for Image Editing
Xuanpu Zhang, Xuesong Niu, Ruidong Chen +6
Recently, image editing based on Diffusion-in-Transformer models has undergone rapid development. However, existing editing methods often lack effective control over the degree of…