Instruction-driven image editing has reached native 4K, yet how such editors are trained remains undisclosed, and pretraining one from scratch is beyond most teams. The task itself compounds the difficulty: a single end-to-end editor cannot make precise parametric adjustments, match specialized experts, or interpret th...
Shan-Yan Guan, Shi-Yu Li, Xin Li et al.· 0 citations
DEdit is introduced, a diffusion-based drafter that can not only draft by conventional parallel unmasking but also iteratively edit its draft through token-to-token predictions, and ProposalMix, a training scheme that mixes draft predictions with ground-truth tokens based on first-pass confidence during training.
Long-Xuan Yu, Bingsen Chen, Peng Shi et al.· 0 citations
These readouts suggest that program-constructed scenes from current coding agents are a promising but not yet sufficiently precise representation of natural images, suggesting that program-constructed scenes from current coding agents are a promising but not yet sufficiently precise representation of natural images.
Xi-Rui Li, Peng Shi, Ming-Wen Dong et al.· 0 citations
Vorch-Omni is presented, a unified multi-task framework for audio-visual synthesis based on an arbitrary-condition-to-arbitrary-output formulation that supports over 10 tasks, including text-to-video, text-to-audio-video, image- and reference-conditioned generation, temporal extension, audio-driven generation, video tr...
Vorch Team, Xiaoyu Chen, Yang Ding et al.· 0 citations
Video understanding demands a convergence of complementary capabilities across perception, temporal understanding, and complex reasoning, which are difficult to jointly optimize within a single model. We introduce Video-MOPD-8B, an open-weight model dedicated to video understanding tasks. To fundamentally enhance its c...
Zheng-Xing Qin, Peng Shi, Cong Han et al.· 1 citation
This paper proposes MobileDreamer, an efficient world-model-based lookahead framework to equip the GUI agents based on the future imagination provided by the world model, which consists of textual sketch world model and rollout imagination for GUI agent.
This survey reviews Multimodal Code Intelligence, covering systems that generate, edit, refine, or reason with code under visually grounded inputs and outputs and organizes benchmarks and methods into four domains: Graphical User Interface, Scientific Visualization, Structured Graphics, and Frontier Tasks and Framework...
