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20242026
most citedAdaptive Guidance Learning for Camouflaged Object Detection

3 citations · 3 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

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…

cs.CV2026

An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models

Dengyang Jiang, Ruoyi Du, Zhennan Chen +10

This paper investigates an increasingly important topic in generative modeling: pixel-space diffusion models. Although numerous studies have explored this topic, most focus on smal…

cs.LG2026

RoMeRL: Balancing Feedback Coverage and the Memory-Reward Trap in Self-Evolving Agent Memory via Reduced-Order Utility States

Yi Yang, Zhennan Chen, Yihong Zhuang +5

Learning-based memory systems for self-evolving LLM agents face two tightly coupled challenges. First, trajectory-indexed utilities grow with the interaction history, thereby dispe…

cs.CV2026

SynVAR: Synergizing Spatial and Semantic Alignment in Visual Autoregressive Model

Zhennan Chen, Tianxing Shi, Pengcheng Xu +5

VAR has gained widespread popularity due to its next-scale prediction paradigm. However, it faces substantial performance bottlenecks when handling complex scenes with multiple obj…

cs.LG2026

Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL

Yi Yang, Zhennan Chen, Mingfeng Lv +3

Offline reinforcement learning (offline RL) can benefit from nearby out-of-distribution (OOD) actions, but estimation errors at these actions may be amplified by bootstrapping. Exi…

cs.CV2026

JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation

Yinan Chen, Chuming Lin, Zhennan Chen +12

While instruction-based video editing has seen significant progress, joint audio-visual editing remains constrained by the absence of dedicated datasets and benchmarks. To bridge t…

cs.CV2026

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset

Haojun Chen, Haoyang He, Chengming Xu +11

Text-to-Image (T2I) models have recently seen notable progress around 1K and 2K resolution. With the extreme desire for better visual experience and the rapid development of imagin…

cs.CV2026

L2P: Unlocking Latent Potential for Pixel Generation

Zhennan Chen, Junwei Zhu, Xu Chen +7

Pixel diffusion models have recently regained attention for visual generation. However, training advanced pixel-space models from scratch demands prohibitive computational and data…

cs.CV2026

Towards Generalized Multi-Image Editing for Unified Multimodal Models

Pengcheng Xu, Peng Tang, Donghao Luo +7

Unified Multimodal Models (UMMs) integrate multimodal understanding and generation, yet they are limited to maintaining visual consistency and disambiguating visual cues when refer…