most citedBlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers

1 citations · 1 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Agentic Visual Generation: From Generative Models to Agentic Control

Yinming Huang, Shuyuan Tu, Xi Yan +7

Visual generation is evolving from generative models used through a single invocation into agentic control processes that can plan, select tools, inspect intermediate synthesized o…

cs.RO2026

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization

Xiaosong Jia, Bowen Yang, Zuhao Ge +17

Vision-Language-Action (VLA) models aim for general robot learning by aligning action as a modality within powerful Vision-Language Models (VLMs). Existing VLAs rely on end-to-end…

cs.CV2026

CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping

Haoyu Zhao, Jiaxi Gu, Haoran Chen +11

Precise camera pose control is critical for video diffusion, yet maintaining geometric consistency remains a challenge. Existing methods that directly inject numerical camera param…

cs.LG2026

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models

Quanhao Li, Junqiu Yu, Kaixun Jiang +7

Reinforcement learning has emerged as a powerful tool for improving diffusion-based text-to-image models, but existing methods are largely limited to single-task optimization. Exte…

cs.CV2026

Attention Itself Could Retrieve.RetrieveVGGT: Training-Free Long Context Streaming 3D Reconstruction via Query-Key Similarity Retrieval

Zichen Zou, Xiaosong Jia, Zuxuan Wu +1

Visual Geometry Grounded Transformer (VGGT) advances 3D reconstruction via scalable Transformer architecture, but the quadratic complexity of global attention prevents long context…

cs.CV2026

CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization

Yitong Chen, Zuxuan Wu, Xipeng Qiu +1

Autoregressive (AR) language models rely on causal tokenization, but extending this paradigm to vision remains non-trivial. Current visual tokenizers either flatten 2D patches into…

cs.RO2025

Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue

Xingyao Lin, Xinghao Zhu, Tianyi Lu +6

Embodied agents are intelligent systems designed to perceive, reason, and act within the physical world. While the robotics community has long strived to build such versatile agent…

cs.CV2025

Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control

Danfeng Li, Hui Zhang, Sheng Wang +2

Despite recent advances in diffusion models, top-tier text-to-image (T2I) models still struggle to achieve precise spatial layout control, i.e. accurately generating entities with…

cs.CV2025

CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design

Hui Zhang, Dexiang Hong, Maoke Yang +7

Graphic design plays a vital role in visual communication across advertising, marketing, and multimedia entertainment. Prior work has explored automated graphic design generation u…

cs.CV2025★ 1 cited

BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers

Hui Zhang, Tingwei Gao, Jie Shao +1

Diffusion models have demonstrated impressive generation capabilities, particularly with recent advancements leveraging transformer architectures to improve both visual and artisti…

cs.CV2025

MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance

Quanhao Li, Zhen Xing, Rui Wang +3

Recent advances in video generation have led to remarkable improvements in visual quality and temporal coherence. Upon this, trajectory-controllable video generation has emerged to…