Artificial Intelligence
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Artificial Intelligence

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Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting

πŸ–₯ Github: https://github.com/junwuzhang19/repaint123

πŸ“• Paper: https://arxiv.org/pdf/2312.13271v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/nerf

@ArtificialIntelligencedl
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LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

πŸ–₯ Github: https://github.com/OpenDriveLab/LaneSegNet

πŸ“• Paper: https://arxiv.org/abs/2312.16108v1

πŸ”₯Datasets: https://paperswithcode.com/dataset/openlane-v2


@ArtificialIntelligencedl
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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

πŸ–₯ Github: https://github.com/kaistai/prometheus-vision

πŸ“• Paper: https://arxiv.org/abs/2401.06591v1

πŸ”₯Datasets: https://paperswithcode.com/dataset/ok-vqa

@ArtificialIntelligencedl
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Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

πŸ–₯ Github: https://github.com/kai422/iart

πŸ“• Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf

πŸ”₯Datasets: https://paperswithcode.com/task/video-super-resolution

@ArtificialIntelligencedl
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CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion

πŸ–₯ Github: https://github.com/haha-lisa/creativesynth

πŸ“• Paper: https://arxiv.org/pdf/2401.14066v1.pdf

✨ Tasks: https://paperswithcode.com/task/image-generation

@ArtificialIntelligencedl
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Vaccine: Perturbation-aware Alignment for Large Language Model

πŸ–₯ Github: https://github.com/git-disl/vaccineT

πŸ“• Paper: https://arxiv.org/pdf/2402.01109v1.pdf

πŸ”₯Datasets: https://paperswithcode.com/dataset/sst

✨ Tasks: https://paperswithcode.com/task/language-modelling

@ArtificialIntelligencedl
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SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels

πŸ–₯ Github: https://github.com/IIPL-CAU/SoftEDA

πŸ“• Paper: https://arxiv.org/pdf/2402.05591v1.pdf

πŸ”₯Datasets: https://paperswithcode.com/dataset/cola

@ArtificialIntelligencedl
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SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings

πŸ–₯ Github: https://github.com/jiangyctarheel/sq-transformer

πŸ“• Paper: https://arxiv.org/pdf/2402.06492v1.pdf

πŸ”₯Datasets: https://paperswithcode.com/dataset/wmt-2014

@ArtificialIntelligencedl
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