✨Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation

📝 Summary:
Inferix is a next-gen inference engine for immersive world simulation, generating high-quality interactive videos. It uses semi-autoregressive block-diffusion with LLM-style KV Cache for efficient, stable generation, enabling real-time world dynamics.

🔹 Publication Date: Published on Nov 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.20714
• PDF: https://arxiv.org/pdf/2511.20714
• Github: https://github.com/alibaba-damo-academy/Inferix

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#WorldSimulation #DiffusionModels #GenerativeAI #AIResearch #RealtimeAI

✨VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

📝 Summary:
VLASH is an asynchronous inference framework for VLAs. It achieves fast accurate and low-latency robotic control by estimating future robot states bridging prediction-execution gaps. This enables VLAs to perform high-precision tasks like ping-pong with significant speedup and reduced latency.

🔹 Publication Date: Published on Nov 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01031
• PDF: https://arxiv.org/pdf/2512.01031
• Github: https://github.com/mit-han-lab/vlash

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#Robotics #VisionLanguageModels #RealTimeAI #AIResearch #MachineLearning

✨RELIC: Interactive Video World Model with Long-Horizon Memory

📝 Summary:
RELIC is a unified framework enabling real-time, memory-aware exploration of scenes with user control. It integrates long-horizon memory and spatial consistency using video-diffusion distillation, achieving 16 FPS generation with robust 3D coherence.

🔹 Publication Date: Published on Dec 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04040
• PDF: https://arxiv.org/pdf/2512.04040
• Project Page: https://relic-worldmodel.github.io/

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#WorldModels #VideoDiffusion #DeepLearning #RealTimeAI #ComputerVision

✨Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length

📝 Summary:
Live Avatar uses a 14-billion-parameter diffusion model to achieve real-time, high-fidelity, infinite-length audio-driven avatar generation. It employs Timestep-forcing Pipeline Parallelism and Rolling Sink Frame Mechanism for efficiency and consistency, reaching 20 FPS on 5 H800 GPUs.

🔹 Publication Date: Published on Dec 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04677
• PDF: https://arxiv.org/pdf/2512.04677

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#LiveAvatar #GenerativeAI #RealtimeAI #DiffusionModels #AvatarGeneration

✨Real-Time Object Detection Meets DINOv3

📝 Summary:
DEIMv2 extends DEIM with DINOv3 features, achieving superior real-time object detection across GPU, edge, and mobile. It uses a Spatial Tuning Adapter and pruned HGNetv2 for diverse models, setting new state of the art with impressive performance-cost trade-offs.

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20787
• PDF: https://arxiv.org/pdf/2509.20787
• Project Page: https://intellindust-ai-lab.github.io/projects/DEIMv2/
• Github: https://github.com/Intellindust-AI-Lab/DEIMv2

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#ObjectDetection #RealTimeAI #ComputerVision #MachineLearning #EdgeAI

✨PersonaLive! Expressive Portrait Image Animation for Live Streaming

📝 Summary:
PersonaLive is a diffusion framework for real-time portrait animation, overcoming latency issues in live streaming. It uses multi-stage training, implicit signals for motion control, and appearance distillation for efficiency. This achieves state-of-the-art performance with up to 7-22x speedup ov...

🔹 Publication Date: Published on Dec 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11253
• PDF: https://arxiv.org/pdf/2512.11253
• Github: https://github.com/GVCLab/PersonaLive

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#PortraitAnimation #LiveStreaming #DiffusionModels #RealtimeAI #ComputerVision

✨Sharp Monocular View Synthesis in Less Than a Second

📝 Summary:
SHARP synthesizes photorealistic 3D views from a single image using a 3D Gaussian representation. It achieves state-of-the-art quality with rapid processing, taking less than a second, and supports metric camera movements.

🔹 Publication Date: Published on Dec 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10685
• PDF: https://arxiv.org/pdf/2512.10685
• Project Page: https://apple.github.io/ml-sharp/
• Github: https://github.com/apple/ml-sharp

🔹 Models citing this paper:
• https://huggingface.co/apple/Sharp

✨ Spaces citing this paper:
• https://huggingface.co/spaces/ronedgecomb/ml-sharp

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#ViewSynthesis #3DVision #ComputerVision #RealtimeAI #GaussianSplats

✨TimeBill: Time-Budgeted Inference for Large Language Models

📝 Summary:
TimeBill is a framework for LLMs in time-critical systems. It predicts execution time and adaptively adjusts KV cache eviction to balance inference efficiency and response performance within given time budgets, improving task completion rates.

🔹 Publication Date: Published on Dec 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21859
• PDF: https://arxiv.org/pdf/2512.21859

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#LLM #AI #RealTimeAI #InferenceOptimization #DeepLearning

✨LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation

📝 Summary:
LiveTalk enables real-time multimodal interactive video generation from text, image, and audio by improving on-policy diffusion distillation. It reduces inference latency by 20x while maintaining quality, allowing seamless human-AI interaction.

🔹 Publication Date: Published on Dec 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23576
• PDF: https://arxiv.org/pdf/2512.23576
• Github: https://github.com/GAIR-NLP/LiveTalk

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#VideoGeneration #AI #DiffusionModels #RealTimeAI #MultimodalAI

✨YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection

📝 Summary:
YOLO-Master proposes an Efficient Sparse Mixture-of-Experts ES-MoE block for real-time object detection. It adaptively allocates computational resources based on scene complexity using a dynamic routing network, overcoming static computation limits. This improves accuracy and speed, especially on...

🔹 Publication Date: Published on Dec 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23273
• PDF: https://arxiv.org/pdf/2512.23273

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#ObjectDetection #YOLO #MixtureOfExperts #Transformers #RealTimeAI

✨Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation

📝 Summary:
Avatar Forcing creates real-time interactive talking head avatars. It uses diffusion forcing for low-latency reactions to user input and a label-free preference optimization for expressive, preferred motion, achieving 6.8x speedup.

🔹 Publication Date: Published on Jan 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.00664
• PDF: https://arxiv.org/pdf/2601.00664
• Project Page: https://taekyungki.github.io/AvatarForcing/
• Github: https://github.com/TaekyungKi/AvatarForcing

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#AvatarGeneration #RealTimeAI #GenerativeAI #ComputerVision #AIResearch

✨OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

📝 Summary:
OmniFlatten is a GPT-based model for real-time, natural full-duplex spoken dialogue. It uses a multi-stage post-training method to adapt a text LLM for speech and text generation without altering its architecture, enabling low-latency conversations.

🔹 Publication Date: Published on Oct 23, 2024

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2410.17799
• PDF: https://arxiv.org/pdf/2410.17799
• Github: https://github.com/karpathy/nanogpt

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#GPT #VoiceAI #LLM #RealTimeAI #NLP