Trending Research
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding
Multimodel Large Language Models(MLLMs) have achieved promising OCR-free Document Understanding performance by increasing the supported resolution of document images.
document understanding
Optical Character Recognition (OCR)
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SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Benefiting from its heuristic search design, SAM2Long is robust toward occlusions and object reappearances, and can effectively segment and track objects for complex long-term videos.
Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
ictnlp/auto-rag
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Iterative retrieval refers to the process in which the model continuously queries the retriever during generation to enhance the relevance of the retrieved knowledge, thereby improving the performance of Retrieval-Augmented Generation (RAG).
XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation
Improvements in architecture, quantization techniques, and training recipes have significantly enhanced both image reconstruction and the downstream generation quality.
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Compared to the baseline method, Mooncake can achieve up to a 525% increase in throughput in certain simulated scenarios while adhering to SLOs.
Occupancy-Based Dual Contouring
Based on Manifold Dual Contouring (MDC), we propose Occupancy-Based Dual Contouring (ODC), which mainly modifies the computation of grid edge points (1D points) and grid cell points (3D points) to not use any distance information.
DF40: Toward Next-Generation Deepfake Detection
YZY-stack/DF40
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In this work, we found the dataset (both train and test) can be the "primary culprit" due to: (1) forgery diversity: Deepfake techniques are commonly referred to as both face forgery and entire image synthesis.
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting
mycfhs/dreammix
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Extensive experiments demonstrate that DreamMix effectively balances identity preservation and attribute editability across various application scenarios, including object insertion, attribute editing, and small object inpainting.
Multimodal Whole Slide Foundation Model for Pathology
mahmoodlab/titan
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The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL).
TEXGen: a Generative Diffusion Model for Mesh Textures
CVMI-Lab/TEXGen
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Instead, we focus on the fundamental problem of learning in the UV texture space itself.
