…We introduce SKILD, a Scale-invariant K-Space Image Learning Diffusion model that unifies generation and continuous super-resolution within a single unconditional framework . Both natural images and critical physical systems exhibit…
…Yanbiao Ji , , , , , , , , , Abstract EnergyFlow unifies generative action modeling with inverse reinforcement learning by parameterizing an energy function whose gradient serves as a denoising field, enabling reward extraction without adversarial training while improving…
…Specifically, ocean data are highly fragmented across disparate sources and inherently exhibit multi-modal, high-noise, and weakly labeled characteristics, lacking unified schemas and semantic alignment. Although Multimodal Large Language Models (MLLMs…
…AI-generated summary We introduce Orthrus, a simple and efficient dual-architecture framework that unifies the exact generation fidelity of autoregressive Large Language Models (LLMs) with the high-speed parallel token generation…
…We propose FlowBP, a unified surrogate-trajectory framework that treats the backward trajectory itself as the design object. FlowBP keeps a no-gradient cached rollout for sampling, then builds a lightweight backward…
…To address this issue, we introduce MMDG-Bench, the first unified and comprehensive benchmark for MMDG, which standardizes evaluation across six datasets spanning three diverse tasks: action recognition , mechanical fault diagnosis , and…
…Omnimodal Unified Large Diffusion Language Model (2026) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout this…
…These results show that images can effectively and efficiently encode rationales while providing a unified visual canvas for reasoning. View arXiv page View PDF GitHub 3 Add to collection Community Optical reasoning…
…It provides many of the benefits of both traditional transformer s (expandable context memory, chunk-wise parallelizable training and prefill ) and linear RNNs in a single unified package. It can be used…
…Jiayang Li , Shuo Cao , , , , , , , Abstract StableI2I is a unified evaluation framework that assesses content fidelity and consistency in image-to-image tasks without requiring reference images, providing accurate and interpretable measurements correlated…