Вот так теперь генерирует изображения по текстовому запросу нейросеть Сбера Kandinsky. Разработчики готовят к презентации новую версию нейросети, которая уже скоро будет доступна всем пользователям.
Иллюстрации теперь будут более детализированы, а также в высоком качестве с фотографической натуралистичностью. Также команда программистов добавит дополнительный функционал и самое главное увеличит скорость генерации изображений.
Иллюстрации теперь будут более детализированы, а также в высоком качестве с фотографической натуралистичностью. Также команда программистов добавит дополнительный функционал и самое главное увеличит скорость генерации изображений.
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Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification
🖥 Github: https://github.com/yuyongcan/benchmark-tta
⏩ Paper: https://arxiv.org/pdf/2307.03133v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Fourier-Net
🖥 Github: https://github.com/xi-jia/fourier-net
⏩ Paper: https://arxiv.org/pdf/2307.02997v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/learn2reg
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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🌆Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
🖥 Github: https://github.com/tetrzim/diffusion-human-feedback
⏩ Paper: https://arxiv.org/pdf/2307.02770v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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@ArtificialIntelligencedl
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Neural Video Depth Stabilizer (ICCV2023) 🚀🚀🚀
🖥 Github: https://github.com/raymondwang987/nvds
⏩ Paper: https://arxiv.org/pdf/2307.08695v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/wsvd
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
🖥 Github: https://github.com/czvvd/svdformer
⏩ Paper: https://arxiv.org/pdf/2307.08492v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/shapenet
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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FLASK: Fine-grained Language Model Evaluation Based on Alignment Skill Sets
🖥 Github: https://github.com/kaistai/flask
⏩ Paper: https://arxiv.org/pdf/2307.10928v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/gsm8k
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Meta-Transformer: A Unified Framework for Multimodal Learning
🖥 Github: https://github.com/invictus717/MetaTransformer
⏩ Paper: https://arxiv.org/pdf/2307.10802v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/s3dis
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG
🖥 Github: https://github.com/remotebiosensing/rppg
📕 Paper: https://arxiv.org/abs/2307.12644v1
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
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TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition (ICCV 2023)
🖥 Github: https://github.com/Shilin-LU/TF-ICON
📕 Paper: https://arxiv.org/abs/2307.12644v1
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
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Awesome-Align-LLM-Human
🖥 Github: https://github.com/garyyufei/alignllmhumansurvey
📕 Paper: https://arxiv.org/pdf/2307.12966v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/gsm8k
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/gsm8k
@ArtificialIntelligencedl
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Лучший способ получать свежие обновлении и следить за трендами в разработке.
Python: t.me/pythonl
C#: t.me/csharp_ci
C/C++/ t.me/cpluspluc
Машинное обучение: t.me/ai_machinelearning_big_data
Data Science: t.me/data_analysis_ml
Devops: t.me/devOPSitsec
Go: t.me/Golang_google
Базы данных: t.me/sqlhub
Rust: t.me/rust_code
Javanoscript: t.me/javanoscriptv
React: t.me/react_tg
PHP: t.me/phpshka
Android: t.me/android_its
Мобильная разработка: t.me/mobdevelop
Linux: t.me/+A8jY79rcyKJlYWY6
Big Data: t.me/bigdatai
Хакинг: t.me/linuxkalii
Java: t.me/javatg
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
🇬🇧Английский: t.me/english_forprogrammers
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LiDAR Meta Depth Completion
🖥 Github: https://github.com/wbkit/reslan
📕 Paper: https://arxiv.org/pdf/2307.12761v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
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Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
🖥 Github: https://github.com/wangyixinxin/mrg-kg
📕 Paper: https://arxiv.org/pdf/2307.12526v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/mimic-cxr
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/mimic-cxr
@ArtificialIntelligencedl
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PG-RCNN: Semantic Surface Point Generation for 3D Object Detection (ICCV 2023)
🖥 Github: https://github.com/quotation2520/pg-rcnn
📕 Paper: https://arxiv.org/pdf/2307.12637v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
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Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
🖥 Github: https://github.com/chrisisking/rule-by-example
📕 Paper: https://arxiv.org/pdf/2307.12935v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/hatexplain
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/hatexplain
@ArtificialIntelligencedl
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Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
🖥 Github: https://github.com/bytedance/dq-det
📕 Paper: https://arxiv.org/pdf/2307.12239v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
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EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
🖥 Github: https://github.com/DSL-Lab/echoglad
📕 Paper: https://arxiv.org/pdf/2307.12229v1.pdf
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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FATRER
🖥 Github: https://github.com/ludybupt/FATRER
📕 Paper: https://arxiv.org/pdf/2307.12221v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
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Revisiting the Minimalist Approach to Offline Reinforcement Learning
🖥 Github: https://github.com/tinkoff-ai/rebrac
📕 Paper: https://arxiv.org/pdf/2305.09836v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
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