AI with Papers - Artificial Intelligence & Deep Learning

@ai_deeplearning

Every day fresh updates on Deep Learning, Machine Learning, and Computer Vision (with Papers).

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/

Direct contact: @ARGOVISION

AI with Papers - Artificial Intelligence & Deep Learning (English)

Are you passionate about Artificial Intelligence, Deep Learning, and Machine Learning? Look no further! Join the AI with Papers Telegram channel for daily fresh updates on the latest trends and research in the field. Curated by Alessandro Ferrari, a visionary in the world of AI, this channel provides valuable insights and knowledge for enthusiasts and professionals alike. Through curated papers and articles, you will stay informed about the cutting-edge advancements in Computer Vision, Deep Learning, and Machine Learning.

Alessandro Ferrari, the curator of the channel, is a renowned expert in the field of AI and is dedicated to sharing his expertise with the community. With a background in Computer Science and a passion for innovation, he provides valuable content that will keep you at the forefront of the AI revolution.

Whether you are a seasoned professional or a newcomer to the world of AI, the AI with Papers channel has something to offer for everyone. Stay updated on the latest research, trends, and technologies in Artificial Intelligence and Deep Learning. Don't miss out on this incredible opportunity to expand your knowledge and network with like-minded individuals. Join the AI with Papers Telegram channel today and be a part of the future of AI!

Join now and connect with Alessandro Ferrari directly: @ARGOVISION

AI with Papers - Artificial Intelligence & Deep Learning

23 Nov, 09:09

🦖Dino-X: Unified Obj-Centric LVM🦖

👉Unified vision model for Open-World Detection, Segmentation, Phrase Grounding, Visual Counting, Pose, Prompt-Free Detection/Recognition, Dense Caption, & more. Demo & API announced 💙

👉Review https://t.ly/CSQon
👉Paper https://lnkd.in/dc44ZM8v
👉Project https://lnkd.in/dehKJVvC
👉Repo https://lnkd.in/df8Kb6iz

1,550

AI with Papers - Artificial Intelligence & Deep Learning

22 Nov, 07:40

⚔️SAMurai: SAM for Tracking⚔️

👉UWA unveils SAMURAI, an enhanced adaptation of SAM 2 specifically designed for visual object tracking. New SOTA! Code under Apache 2.0💙

👉Review https://t.ly/yGU0P
👉Paper https://arxiv.org/pdf/2411.11922
👉Repo https://github.com/yangchris11/samurai
👉Project https://yangchris11.github.io/samurai/

2,020

AI with Papers - Artificial Intelligence & Deep Learning

18 Nov, 10:31

🧰 EchoMimicV2: Semi-body Human 🧰

👉Alipay (ANT Group) unveils EchoMimicV2, the novel SOTA half-body human animation via APD-Harmonization. See clip with audio (ZH/ENG). Code & Demo announced💙

👉Review https://t.ly/enLxJ
👉Paper arxiv.org/pdf/2411.10061
👉Project antgroup.github.io/ai/echomimic_v2/
👉Repo-v2 github.com/antgroup/echomimic_v2
👉Repo-v1 https://github.com/antgroup/echomimic

3,607

AI with Papers - Artificial Intelligence & Deep Learning

15 Nov, 13:47

🧶 MagicQuill: super-easy Diffusion Editing 🧶

👉MagicQuill is a novel system designed to support users in smart editing of images. Robust UI/UX (e.g., inserting/erasing objects, colors, etc.) under a multimodal LLM to anticipate user intentions in real time. Code & Demos released 💙

👉Review https://t.ly/hJyLa
👉Paper https://arxiv.org/pdf/2411.09703
👉Project https://magicquill.art/demo/
👉Repo https://github.com/magic-quill/magicquill
👉Demo https://huggingface.co/spaces/AI4Editing/MagicQuill

4,165

AI with Papers - Artificial Intelligence & Deep Learning

15 Nov, 07:32

🛥️ Global Tracklet Association MOT 🛥️

👉A novel universal, model-agnostic method designed to refine and enhance tracklet association for single-camera MOT. Suitable for datasets such as SportsMOT, SoccerNet & similar. Source code released💙

👉Review https://t.ly/gk-yh
👉Paper https://lnkd.in/dvXQVKFw
👉Repo https://lnkd.in/dEJqiyWs

3,945

AI with Papers - Artificial Intelligence & Deep Learning

14 Nov, 07:54

🔥 4 NanoSeconds inference 🔥

👉LogicTreeNet: convolutional differentiable logic gate net. with logic gate tree kernels: Computer Vision into differentiable LGNs. Up to 6100% smaller than SOTA, inference in 4 NANOsecs!

👉Review https://t.ly/GflOW
👉Paper https://lnkd.in/dAZQr3dW
👉Full clip https://lnkd.in/dvDJ3j-u

3,967

AI with Papers - Artificial Intelligence & Deep Learning

13 Nov, 07:51

🐔SeedEdit: foundational T2I🐔

👉ByteDance unveils a novel T2I foundational model capable of delivering stable, high-aesthetic image edits which maintain image quality through unlimited rounds of editing instructions. No code announced but a Demo is online💙

👉Review https://t.ly/hPlnN
👉Paper https://arxiv.org/pdf/2411.06686
👉Project team.doubao.com/en/special/seededit
🤗Demo https://huggingface.co/spaces/ByteDance/SeedEdit-APP

3,669

AI with Papers - Artificial Intelligence & Deep Learning

11 Nov, 13:47

❄️Don’t Look Twice: ViT by RLT❄️

👉CMU unveils RLT: speeding up the video transformers inspired by run-length encoding for data compression. Speed the training up and reducing the token count by up to 80%! Source Code announced 💙

👉Review https://t.ly/ccSwN
👉Paper https://lnkd.in/d6VXur_q
👉Project https://lnkd.in/d4tXwM5T
👉Repo TBA

4,124

AI with Papers - Artificial Intelligence & Deep Learning

10 Nov, 10:43

🫠 X-Portrait 2: SOTA(?) Portrait Animation 🫠

👉ByteDance unveils a preview of X-Portrait2, the new SOTA expression encoder model that implicitly encodes every minuscule expressions from the input by training it on large-scale datasets. Impressive results but no paper & code announced.

👉Review https://t.ly/8Owh9 [UPDATE]
👉Paper ?
👉Project byteaigc.github.io/X-Portrait2/
👉Repo ?

4,217

AI with Papers - Artificial Intelligence & Deep Learning

08 Nov, 09:30

🧠 Single Neuron Reconstruction 🧠

👉SIAT unveils NeuroFly, a framework for large-scale single neuron reconstruction. Formulating neuron reconstruction task as a 3-stage streamlined workflow: automatic segmentation - connection - manual proofreading. Bridging computer vision and neuroscience 💙

👉Review https://t.ly/Y5Xu0
👉Paper https://arxiv.org/pdf/2411.04715
👉Repo github.com/beanli161514/neurofly

4,220

AI with Papers - Artificial Intelligence & Deep Learning

07 Nov, 08:24

💪 Muscles in Time Dataset 💪

👉Muscles in Time (MinT) is a large-scale synthetic muscle activation dataset. MinT contains 9+ hours of simulation data covering 227 subjects and 402 simulated muscle strands. Code & Dataset available soon 💙

👉Review https://t.ly/108g6
👉Paper arxiv.org/pdf/2411.00128
👉Project davidschneider.ai/mint
👉Code github.com/simplexsigil/MusclesInTime

4,291

AI with Papers - Artificial Intelligence & Deep Learning

05 Nov, 07:22

🏣 CityGaussianV2: Large-Scale City 🏣

👉A novel approach for large-scale scene reconstruction that addresses critical challenges related to geometric accuracy and efficiency: 10x compression, 25% faster & -50% memory! Source code released💙

👉Review https://t.ly/Xgn59
👉Paper arxiv.org/pdf/2411.00771
👉Project dekuliutesla.github.io/CityGaussianV2/
👉Code github.com/DekuLiuTesla/CityGaussian

5,018

AI with Papers - Artificial Intelligence & Deep Learning

04 Nov, 07:39

☀️ Universal Relightable Avatars ☀️

👉#Meta unveils URAvatar, photorealistic & relightable avatars from phone scan with unknown illumination. Stunning results!

👉Review https://t.ly/U-ESX
👉Paper arxiv.org/pdf/2410.24223
👉Project junxuan-li.github.io/urgca-website

5,066

AI with Papers - Artificial Intelligence & Deep Learning

01 Nov, 07:30

🍜 REM: Segment What You Describe 🍜

👉REM is a framework for segmenting concepts in video that can be described via LLM. Suitable for rare & non-object dynamic concepts, such as waves, smoke, etc. Code & Data announced 💙

👉Review https://t.ly/OyVtV
👉Paper arxiv.org/pdf/2410.23287
👉Project https://miccooper9.github.io/projects/ReferEverything/

6,503

AI with Papers - Artificial Intelligence & Deep Learning

31 Oct, 08:13

🔥🔥 The code is out 🔥🔥

👉Code https://github.com/HaixinShi/fmov_pose

5,820

AI with Papers - Artificial Intelligence & Deep Learning

31 Oct, 08:00

🔥 D-FINE: new SOTA Detector 🔥

👉D-FINE, a powerful real-time object detector that achieves outstanding localization precision by redefining the bounding box regression task in DETR model. New SOTA on MS COCO with additional data. Code & models available 💙

👉Review https://t.ly/aw9fN
👉Paper https://arxiv.org/pdf/2410.13842
👉Code https://github.com/Peterande/D-FINE

5,267

AI with Papers - Artificial Intelligence & Deep Learning

29 Oct, 07:53

🫐 Blendify: #Python + Blender 🫐

👉Lightweight Python framework that provides a high-level API for creating & rendering scenes with #Blender. It simplifies data augmentation & synthesis. Source Code released💙

👉Review https://t.ly/l0crA
👉Paper https://arxiv.org/pdf/2410.17858
👉Code https://virtualhumans.mpi-inf.mpg.de/blendify/

5,240

AI with Papers - Artificial Intelligence & Deep Learning

25 Oct, 10:49

⛈️ SMITE: SEGMENT IN TIME ⛈️

👉SFU unveils SMITE: a novel AI that -with only one or few segmentation references with fine granularity- is able to segment different unseen videos respecting the segmentation references. Dataset & Code (under Apache 2.0) announced 💙

👉Review https://t.ly/w6aWJ
👉Paper arxiv.org/pdf/2410.18538
👉Project segment-me-in-time.github.io/
👉Repo github.com/alimohammadiamirhossein/smite

5,974

AI with Papers - Artificial Intelligence & Deep Learning

24 Oct, 09:05

🌻 Plant Camouflage Detection🌻

👉PlantCamo Dataset is the first dataset for plant camouflage detection: 1,250 images with camouflage characteristics. Source Code released 💙

👉Review https://t.ly/pYFX4
👉Paper arxiv.org/pdf/2410.17598
👉Code github.com/yjybuaa/PlantCamo

6,396