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πŸ”— GitHub_Link

❇️ Enhancing Stereo Matching with Multi-Scale Selective Attention Aggregation πŸ”₯

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πŸ”— GitHub_Link

❇️ HART: Efficient Visual Generation with Hybrid Autoregressive Transformer

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πŸ”— GitHub_Link

❇️ From Slow Bidirectional to Fast Autoregressive Video Diffusion Models πŸ”₯

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πŸ”— GitHub_Link

❇️ AnimPortrait3D: Text-based Animatable 3D Avatars with Morphable Model Alignment

#3D

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πŸ”— GitHub_Link

❇️ MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance πŸ”₯πŸ”₯πŸ”₯

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πŸ”— GitHub_Link

❇️ Kick-up Counter with Real-time Ball DetectionπŸ”₯ ⚽️πŸ”₯

#just4fun

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πŸ”— GitHub_Link

❇️ EyeTrax: Webcam based eye tracking made simple πŸ”₯

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πŸ”— GitHub_Link

❇️ TTSG: Text-to-Traffic-Scene Generation

#LLMs

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πŸ”— GitHub_Link

❇️ Voyager is an interactive RGBD video generation model conditioned on camera trajectory, and supports real-time 3D reconstruction πŸ”₯

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πŸ”— GitHub_Link

❇️ TKG-DM: Training-free Chroma Key Content Generation Diffusion Model

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πŸ”— GitHub_Link

❇️ MotionPro: A Precise Motion Controller for Image-to-Video Generation πŸ”₯

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πŸ”— GitHub_Link

❇️ VAREdit: Visual Autoregressive Modeling for Instruction-Guided Image Editing πŸ”₯

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πŸ”— GitHub_Link

❇️ CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking 🐫

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πŸ”— GitHub_Link

❇️ Real-Time Detection of Hallucinated Entities in Long-Form Generation πŸ”₯

As the use of LLMs expands into longer and more complex responses through contextual extension, detecting fictional information has become increasingly difficult.

However, new research has emerged on developing a Hallucination Detector to detect false information provided by LLMs like ChatGPT.

This Hallucination Detector even can be generalized to mathematical reasoning tasks even without separate mathematical training.

According to the paper, this system can detect errors in LLMs, pinpoint the location of that erroneous information, and capture signals about accurate information beyond simple hallucinations.

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πŸ”— GitHub_Link

❇️ ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations πŸ”₯

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πŸ”— GitHub_Link

❇️ StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data

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πŸ”— GitHub_Link

❇️ Building Regulariser: Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifying polygons for more accurate analysis πŸ”₯

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πŸ”— GitHub_Link

❇️ UAE: Incentivizing Mutual Benefits for Unified Multimodal Understanding and Generation via RL 🎨

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πŸ”— GitHub_Link

❇️ VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision πŸ”₯

#labelling #yolo #segmentation #sam

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πŸ”— GitHub_Link

❇️ InterTrack: Tracking Human Object Interaction without Object Templates πŸ”₯

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https://www.tgoop.com/Artificial_Intelligence_Updates
2025/10/26 16:31:29
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