Artificial Intelligence
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Artificial Intelligence

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3D-Aware Multi-Class Image-to-Image Translation with NeRFs

πŸ–₯ Github: https://github.com/sen-mao/3di2i-translation

⏩ Paper: https://arxiv.org/abs/2303.15012v1

πŸ’¨ Dataset: https://paperswithcode.com/dataset/afhq

@ArtificialIntelligencedl
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qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization

πŸ–₯ Github: https://github.com/facebookresearch/qeubo

⏩ Paper: https://arxiv.org/abs/2303.15746v1

@ArtificialIntelligencedl
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Novel View Synthesis of Humans using Differentiable Rendering

πŸ–₯ Github: https://github.com/guillaumerochette/humanviewsynthesis

⏩ Paper: https://arxiv.org/abs/2303.15880v1

πŸ’¨ Dataset: https://paperswithcode.com/dataset/afhq

@ArtificialIntelligencedl
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Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization

πŸ–₯ Github: https://github.com/lettucecfd/lettuce

⏩ Paper: https://arxiv.org/abs/2303.15896v1

πŸ’¨ Video: https://www.youtube.com/watch?v=7nVCuuZDCYA

@ArtificialIntelligencedl
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Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

πŸ–₯ Github: https://github.com/hikvision-research/3dvision

⏩ Paper: https://arxiv.org/abs/2303.17167v1

πŸ’¨ Dataset: https://paperswithcode.com/dataset/scenenn

@ArtificialIntelligencedl
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ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

πŸ–₯ Github: https://github.com/alibaba/easyrobust/tree/main/benchmarks/imagenet-e

⏩ Paper: https://arxiv.org/abs/2303.17096v1

πŸ’¨ Dataset: https://paperswithcode.com/dataset/objectnet

@ArtificialIntelligencedl
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Zero-shot Referring Image Segmentation with Global-Local Context Features

πŸ–₯ Github: https://github.com/seonghoon-yu/zero-shot-ris

⏩ Paper: https://arxiv.org/pdf/2303.17811v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/coco

@ArtificialIntelligencedl
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CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society

πŸ–₯ Github: https://github.com/lightaime/camel

⏩ Paper: https://arxiv.org/pdf/2303.17760v1.pdf

@ArtificialIntelligencedl
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Procedure-Aware Pretraining for Instructional Video Understanding

πŸ–₯ Github: https://github.com/salesforce/paprika

⏩ Paper: https://arxiv.org/pdf/2303.18230v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/howto100m

@ArtificialIntelligencedl
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β™Ύ-Diff: Infinite Resolution Diffusion with Subsampled Mollified States

πŸ–₯ Github: https://github.com/samb-t/infty-diff

⏩ Paper: https://arxiv.org/pdf/2303.18242v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/ffhq

@ArtificialIntelligencedl
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Adaptive Sparse Pairwise Loss for Object Re-Identification


πŸ–₯ Github: https://github.com/astaxanthin/adasp

⏩ Paper: https://arxiv.org/pdf/2303.18247v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/market-1501

@ArtificialIntelligencedl
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CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X

πŸ–₯ Github: https://github.com/THUDM/CodeGeeX

⏩ Paper: https://arxiv.org/pdf/2303.17568v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/humaneval-x

@ArtificialIntelligencedl
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Complementary Random Masking for RGB-Thermal Semantic Segmentation

πŸ–₯ Github: https://github.com/UkcheolShin/CRM_RGBTSeg

⏩ Paper: https://arxiv.org/pdf/2303.17386v1.pdf

@ArtificialIntelligencedl
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πŸ‘4❀1πŸ”₯1
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

πŸ–₯ Github: https://github.com/zhangyp15/occformer

⏩ Paper: https://arxiv.org/abs/2304.05316

πŸ’¨ Dataset: https://paperswithcode.com/dataset/semantickitti

@ArtificialIntelligencedl1
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Awesome-Anything

A curated list of general AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask.

πŸ–₯ Github: https://github.com/VainF/Awesome-Anything

⏩ Paper list: https://github.com/VainF/Awesome-Anything#paper-list-for-anything-ai

@ArtificialIntelligencedl1
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Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

πŸ–₯ Github: https://github.com/Daniel-xsy/RoboBEV

⏩ Paper: https://arxiv.org/abs/2304.06719v1

πŸ’¨ Dataset: https://paperswithcode.com/dataset/nuscenes-c

@ArtificialIntelligencedl
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Remote Sensing Change Detection With Transformers Trained from Scratch

πŸ–₯ Github: https://github.com/mustansarfiaz/scratchformer

⏩ Paper: https://arxiv.org/pdf/2304.06710v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/dsifn-cd

@ArtificialIntelligencedl
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πŸ”₯4❀2πŸ‘1
DDT: Dual-branch Deformable Transformer for Image Denoising

πŸ–₯ Github: https://github.com/merenguelkl/ddt

⏩ Paper: https://arxiv.org/pdf/2304.06346v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/urban100

@ArtificialIntelligencedl
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STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

πŸ–₯ Github: https://github.com/ziyan-huang/stu-net

⏩ Paper: https://arxiv.org/pdf/2304.06716v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/abdomenct-1k

@ArtificialIntelligencedl
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