activity
20242026
most citedRelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

InnoText: A Unified Model for Visual Text Generation and Editing

Haowei Liu, Runze He, Jian Lu +10

Diffusion models have recently achieved remarkable success in high-fidelity image synthesis, yet their application to visual text generation and editing remains relatively underexp…

cs.AI2026

Graph of States: Solving Abductive Tasks with Large Language Models

Yu Luo, Rongchen Gao, Lu Teng +9

Logical reasoning encompasses deduction, induction, and abduction. However, while Large Language Models (LLMs) have effectively mastered the former two, abductive reasoning remains…

cs.CV2025

Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation

Ao Ma, Jiasong Feng, Ke Cao +4

Storytelling tasks involving generating consistent subjects have gained significant attention recently. However, existing methods, whether training-free or training-based, continue…

cs.CV2025

WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation

Jing Wang, Ao Ma, Ke Cao +9

Recent rapid advancements in text-to-video (T2V) generation, such as SoRA and Kling, have shown great potential for building world simulators. However, current T2V models struggle…

cs.CV2025★ 1 cited

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

Ke Cao, Jing Wang, Ao Ma +11

The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video generation, owing primarily to its inherent scalability. However, existing controlled di…

cs.CV2024

Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task

Jing Wang, Ao Ma, Jiasong Feng +3

The global self-attention mechanism in diffusion transformers involves redundant computation due to the sparse and redundant nature of visual information, and the attention map of…

cs.CV2024

Ensemble Predicate Decoding for Unbiased Scene Graph Generation

Jiasong Feng, Lichun Wang, Hongbo Xu +2

Scene Graph Generation (SGG) aims to generate a comprehensive graphical representation that accurately captures the semantic information of a given scenario. However, the SGG model…

cs.CV2024★ 1 cited

FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance

Jiasong Feng, Ao Ma, Jing Wang +2

Synthesizing motion-rich and temporally consistent videos remains a challenge in artificial intelligence, especially when dealing with extended durations. Existing text-to-video (T…