1 citations · 2 across the 11 of their papers we have counts for
13 papers
Paint-Anything: Unified Any-Color Control for Image Generation and Editing
Ji Xie, Dewei Zhou, Xinyu Huang +2
Professional design requires any-color control: the ability to specify an object's target color with any 24-bit hex value for image generation and editing. Prior work has explored…
MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation
Dewei Zhou, Xinyu Huang, Xun Wang +6
Generative visual models fundamentally struggle with precise spatial control. This arises from a core disconnect: models can process textual descriptions of space but cannot direct…
Images in Sentences: Scaling Interleaved Instructions for Unified Visual Generation
Yabo Zhang, Kunchang Li, Dewei Zhou +2
While recent advancements in multimodal language models have enabled image generation from expressive multi-image instructions, existing methods struggle to maintain performance un…
FoleyDirector: Fine-Grained Temporal Steering for Video-to-Audio Generation via Structured Scripts
You Li, Dewei Zhou, Fan Ma +3
Recent Video-to-Audio (V2A) methods have achieved remarkable progress, enabling the synthesis of realistic, high-quality audio. However, they struggle with fine-grained temporal co…
RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details
Dewei Zhou, You Li, Zongxin Yang +1
We introduce region-specific image refinement as a dedicated problem setting: given an input image and a user-specified region (e.g., a scribble mask or a bounding box), the goal i…
PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing
Ruihang Xu, Dewei Zhou, Xiaolong Shen +2
Achieving physically accurate object manipulation in image editing is essential for its potential applications in interactive world models. However, existing visual generative mode…
BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
Dewei Zhou, Mingwei Li, Zongxin Yang +5
Conditional image generation enhances text-to-image synthesis with structural, spatial, or stylistic priors, but current methods face challenges in handling conflicts between sourc…
ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
Ruihang Xu, Dewei Zhou, Fan Ma +1
Multi-instance image generation (MIG) remains a significant challenge for modern diffusion models due to key limitations in achieving precise control over object layout and preserv…
DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models
Dewei Zhou, Mingwei Li, Zongxin Yang +1
Image-conditioned generation methods, such as depth- and canny-conditioned approaches, have demonstrated remarkable abilities for precise image synthesis. However, existing models…
3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering
Dewei Zhou, Ji Xie, Zongxin Yang +1
The growing demand for controllable outputs in text-to-image generation has driven significant advancements in multi-instance generation (MIG), enabling users to define both instan…
3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation
Dewei Zhou, Ji Xie, Zongxin Yang +1
The increasing demand for controllable outputs in text-to-image generation has spurred advancements in multi-instance generation (MIG), allowing users to define both instance layou…
MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis
Dewei Zhou, You Li, Fan Ma +2
We introduce the Multi-Instance Generation (MIG) task, which focuses on generating multiple instances within a single image, each accurately placed at predefined positions with att…
MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
Dewei Zhou, You Li, Fan Ma +2
We present a Multi-Instance Generation (MIG) task, simultaneously generating multiple instances with diverse controls in one image. Given a set of predefined coordinates and their…