3 citations · 6 across the 11 of their papers we have counts for
11 papers
DDA-Thinker: Decoupled Dual-Atomic Reinforcement Learning for Reasoning-Driven Image Editing
Hanqing Yang, Qiang Zhou, Yongchao Du +6
Recent image editing models have achieved strong visual fidelity but often struggle with tasks requiring complex reasoning. To investigate and enhance the reasoning-grounded planni…
SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation
Sashuai Zhou, Qiang Zhou, Junpeng Ma +9
Recent advances in text-to-image (T2I) generation via reinforcement learning (RL) have benefited from reward models that assess semantic alignment and visual quality. However, most…
ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data Synthesis
Congzhi Zhang, Zhibin Wang, Yinchao Ma +5
While Reinforcement Learning with Verifiable Reward (RLVR) significantly advances image reasoning in Large Vision-Language Models (LVLMs), its application to complex video reasonin…
Raccoon: Multi-stage Diffusion Training with Coarse-to-Fine Curating Videos
Zhiyu Tan, Junyan Wang, Hao Yang +4
Text-to-video generation has demonstrated promising progress with the advent of diffusion models, yet existing approaches are limited by dataset quality and computational resources…
Motion Control for Enhanced Complex Action Video Generation
Qiang Zhou, Shaofeng Zhang, Nianzu Yang +2
Existing text-to-video (T2V) models often struggle with generating videos with sufficiently pronounced or complex actions. A key limitation lies in the text prompt's inability to p…
Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval
Yabing Wang, Le Wang, Qiang Zhou +4
Cross-lingual cross-modal retrieval (CCR) aims to retrieve visually relevant content based on non-English queries, without relying on human-labeled cross-modal data pairs during tr…
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
Yiwei Ma, Jiayi Ji, Ke Ye +6
Significant progress has been made in the field of Instruction-based Image Editing (IIE). However, evaluating these models poses a significant challenge. A crucial requirement in t…
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model
Yiwei Ma, Zhibin Wang, Xiaoshuai Sun +4
With advancements in data availability and computing resources, Multimodal Large Language Models (MLLMs) have showcased capabilities across various fields. However, the quadratic c…
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation
Zhiyu Tan, Mengping Yang, Luozheng Qin +5
One critical prerequisite for faithful text-to-image generation is the accurate understanding of text inputs. Existing methods leverage the text encoder of the CLIP model to repres…
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
Shaofeng Zhang, Jinfa Huang, Qiang Zhou +4
Image outpainting aims to generate the content of an input sub-image beyond its original boundaries. It is an important task in content generation yet remains an open problem for g…
InfMLLM: A Unified Framework for Visual-Language Tasks
Qiang Zhou, Zhibin Wang, Wei Chu +3
Large language models (LLMs) have proven their remarkable versatility in handling a comprehensive range of language-centric applications. To expand LLMs' capabilities to a broader…