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Found 6 papers, 4 papers with code
Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO
However, despite the importance of active perception in embodied intelligence, there is little to no exploration of how MLLMs can be equipped with or learn active perception capabilities.
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Long-horizon video-audio reasoning and fine-grained pixel understanding impose conflicting requirements on omnimodal models: dense temporal coverage demands many low-resolution frames, whereas precise grounding calls for high-resolution inputs.
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
We achieve results on par with SAM-vit-h using only 0. 06% of their data (e. g., 600K vs. 1B pixel-level annotated images).
MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence
Our approach utilizes autoregressive models for global narrative coherence, predicting sequences of visual tokens that are subsequently transformed into high-quality video frames through diffusion rendering.
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
Experiments show that our method's produced images are consistent with the given concepts and better aligned with the input text.
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
We empirically find that sparse control conditions, such as bounding boxes, are suitable for layout planning, while dense control conditions, e. g., sketches and keypoints, are suitable for generating high-quality image content.
