Dmitry Ryumin's picture

Dmitry Ryumin

DmitryRyumin

AI & ML interests

Machine Learning and Applications, Multi-Modal Understanding

Recent Activity

upvoted a collection 4 days ago
heartsync-mbti
reacted to seawolf2357's post with šŸ”„ 4 days ago
šŸ”„ AgenticAI: The Ultimate Multimodal AI with 16 MBTI Girlfriend Personas! šŸ”„ Hello AI community! Today, our team is thrilled to introduce AgenticAI, an innovative open-source AI assistant that combines deep technical capabilities with uniquely personalized interaction. šŸ’˜ šŸ› ļø MBTI 16 Types SPACES Collections link https://huggingface.co/collections/seawolf2357/heartsync-mbti-67f793d752ef1fa542e16560 āœØ 16 MBTI Girlfriend Personas Complete MBTI Implementation: All 16 MBTI female personas modeled after iconic characters (Dana Scully, Lara Croft, etc.) Persona Depth: Customize age groups and thinking patterns for hyper-personalized AI interactions Personality Consistency: Each MBTI type demonstrates consistent problem-solving approaches, conversation patterns, and emotional expressions šŸš€ Cutting-Edge Multimodal Capabilities Integrated File Analysis: Deep analysis and cross-referencing of images, videos, CSV, PDF, and TXT files Advanced Image Understanding: Interprets complex diagrams, mathematical equations, charts, and tables Video Processing: Extracts key frames from videos and understands contextual meaning Document RAG: Intelligent analysis and summarization of PDF/CSV/TXT files šŸ’” Deep Research & Knowledge Enhancement Real-time Web Search: SerpHouse API integration for latest information retrieval and citation Deep Reasoning Chains: Step-by-step inference process for solving complex problems Academic Analysis: In-depth approach to mathematical problems, scientific questions, and data analysis Structured Knowledge Generation: Systematic code, data analysis, and report creation šŸ–¼ļø Creative Generation Engine FLUX Image Generation: Custom image creation reflecting the selected MBTI persona traits Data Visualization: Automatic generation of code for visualizing complex datasets Creative Writing: Story and scenario writing matching the selected persona's style
updated a collection 5 days ago
šŸŽ­ Avatars
View all activity

Organizations

Gradio-Themes-Party's profile picture Gradio-Blocks-Party's profile picture Blog-explorers's profile picture New Era Artificial Intelligence's profile picture ICCV2023's profile picture ZeroGPU Explorers's profile picture Journalists on Hugging Face's profile picture Social Post Explorers's profile picture Dev Mode Explorers's profile picture

Posts 64

view post
Post
3786
šŸš€šŸŽ­šŸŒŸ New Research Alert - WACV 2025 (Avatars Collection)! šŸŒŸšŸŽ­šŸš€
šŸ“„ Title: EmoVOCA: Speech-Driven Emotional 3D Talking Heads šŸ”

šŸ“ Description: EmoVOCA is a data-driven method for generating emotional 3D talking heads by combining speech-driven lip movements with expressive facial dynamics. This method has been developed to overcome the limitations of corpora and to achieve state-of-the-art animation quality.

šŸ‘„ Authors: @FedeNoce , Claudio Ferrari, and Stefano Berretti

šŸ“… Conference: WACV, 28 Feb ā€“ 4 Mar, 2025 | Arizona, USA šŸ‡ŗšŸ‡ø

šŸ“„ Paper: https://arxiv.org/abs/2403.12886

šŸŒ Github Page: https://fedenoce.github.io/emovoca/
šŸ“ Repository: https://github.com/miccunifi/EmoVOCA

šŸš€ CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers

šŸš€ WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers

šŸš€ ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers

šŸ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

šŸš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

šŸ” Keywords: #EmoVOCA #3DAnimation #TalkingHeads #SpeechDriven #FacialExpressions #MachineLearning #ComputerVision #ComputerGraphics #DeepLearning #AI #WACV2024
view post
Post
2828
šŸ”„šŸŽ­šŸŒŸ New Research Alert - HeadGAP (Avatars Collection)! šŸŒŸšŸŽ­šŸ”„
šŸ“„ Title: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors šŸ”

šŸ“ Description: HeadGAP introduces a novel method for generating high-fidelity, animatable 3D head avatars from few-shot data, using Gaussian priors and dynamic part-based modelling for personalized and generalizable results.

šŸ‘„ Authors: @zxz267 , @walsvid , @zhaohu2 , Weiyi Zhang, @hellozhuo , Xu Chang, Yang Zhao, Zheng Lv, Xiaoyuan Zhang, @yongjie-zhang-mail , Guidong Wang, and Lan Xu

šŸ“„ Paper: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors (2408.06019)

šŸŒ Github Page: https://headgap.github.io

šŸš€ CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers

šŸš€ WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers

šŸš€ ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers

šŸ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

šŸš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

šŸ” Keywords: #HeadGAP #3DAvatar #FewShotLearning #GaussianPriors #AvatarCreation #3DModeling #MachineLearning #ComputerVision #ComputerGraphics #GenerativeAI #DeepLearning #AI

models

None public yet

datasets

None public yet