TeleAI

Institute of Artificial Intelligence of China Telecom. Rooted in AI, flowing across edges.

[TeleAI @TeleAI_AIFlow]

For Generative Transmission of AI Flow

✅  Lightweight deployment for edge and terminal devices

✅  high-fidelity visual generation and low-latency transmission

✅  Flexible quality adjustment without retraining
VIAR strikes a dynamic balance across quality, speed, GPU memory, parameter efficiency, and deployment flexibility, powering AI Flow and paving a more economical, scalable path for real-world AI applications

#EdgeAI #GenerativeTransmission #VisualGeneration #AIApplications

[TeleAI @TeleAI_AIFlow]

✨Meet VIAR (Visual Implicit Autoregressive Modeling)!

⚙️Built as our major upgrade to VAR(Visual Autoregressive Modeling), this cutting-edge next-gen visual generator nails the balance between generation quality and operational efficiency for large-scale real-world deployment.

We’re pleased to share the full paper, which has also been recently accepted by @icmlconf 2026 — our first batch of accepted ICML research papers!

Full paper: https://t.co/VYDXX04qrg

#VIAR #AutoregressiveModels #ICML2026 #AIResearch

[TeleAI @TeleAI_AIFlow]

VIAR vs. VAR: Breakthrough Performance Gains

✅ 61.6% fewer total parameters

✅ Peak inference GPU memory usage drops by 42.0%

✅ 2.1× higher inference throughput

✅ FID 2.16, sFID 8.07 (top-tier generation quality)

✅ Stronger zero-shot in-painting and class-conditional editing

#ModelEfficiency #ZeroShotLearning #VisualAutoregression

[TeleAI @TeleAI_AIFlow]

🚀We’re building TelePhysics to power next-gen creative and simulation workflows.

Built on the AI Flow framework, TelePhysics enhances foundational world models to generate physically consistent 3D environments, providing a canvas for storytelling, robotics simulation, and design to transform how we build and interact with digital environments.

Follow @TeleAI_AIFlow for more updates.

Here’s the full paper:
https://t.co/4NG4xWlmDk

Open-sourced on:
https://t.co/fqO9w4bP6w

[TeleAI @TeleAI_AIFlow]

🌍Physics you can trust. Worlds you can interact with.

🍎Use TelePhysics, a training-free framework, to reconstruct a physically consistent 3D environment from a single RGB image, then customize its dynamics and appearance however you want.

Go from a static image to a fully interactive, physics-grounded 3D world in seconds.

🌐Now, world models can be built to be more realistic
#worldmodel #AI #3D #TeleAI

[TeleAI @TeleAI_AIFlow]

🤔How TelePhysics builds physical 3D worlds from a single image:

We reconstruct the entire scene holistically, not piece by piece.

✅ A unified world coordinate system:
Resolves penetration and alignment ambiguities and guarantees geometrically coherent configurations.

✅ A scene-aware pose alignment mechanism:
Places objects into the 3D scene without violating physical constraints.

✅ A coarse-to-fine camera pose optimization strategy:
Ensures precise photometric and geometric alignment.

[TeleAI @TeleAI_AIFlow]

Where Full-4D matters:

🤖Robotics: Provides precise simulation for humanoid training

👓AR/VR: Turn everyday videos into explorable 4D worlds.

🎬Video Production: One shot, infinite angles.

🚗Autonomous Driving: One clip turns into an interactive and trainable simulation.

This isn't just generating scenes.

🌍It's giving AI new eyes to observe the world.

Follow @TeleAI_AIFlow . Redefining AI's real-world 4D perception.

#EmbodiedAI #FutureOfAI #TeleAI #WorldModel

[TeleAI @TeleAI_AIFlow]

✨Turn a single-view video into a 4D scene in minutes!👀

👉Meet Full-4D — TeleAI’s unified framework that reconstructs a complete 4D scene from just one monocular video, using joint time-view modeling.📹

Outputs are:
- Geometrically accurate
- Temporally smooth
- Visually consistent
- Free to explore from any viewpoints

Swipe to see how it works!
#WorldModel #4D #TeleAI

[TeleAI @TeleAI_AIFlow]

4D Reconstruction from Generated Multi-View Videos

🧑‍💻Videos alone aren’t enough.
we turn them into explorable, real-time renderable 4D scenes.

👉Core Tech 1: 4D Gaussian Splatting (4D-GS)
Lifts videos into dynamic Gaussian primitives for real-time, free-viewpoint rendering.

👉Core Tech 2: Flow Matching Distillation (FMD) Loss
Uses a pretrained diffusion prior to refine geometry and fill occlusions with plausible content.

🌐Together, they deliver a coherent, explorable 4D reconstruction from a single video.
#4DGaussianSplatting #RealTimeRendering #WorldModel #4D #TeleAI

[TeleAI @TeleAI_AIFlow]

Across real-world scenarios that demand collaboration:

- 📦Warehouse logistics
- 🏭Industrial inspection
- ⛑️Emergency rescue

DeCoNav provides a blueprint for next-gen robots to be dialogue-driven, negotiable, and reconfigurable in real time.
#FutureOfRobotics #AIResearch #TeleAI #CollectiveIntelligence

[TeleAI @TeleAI_AIFlow]

🤖True robot teamwork isn’t about moving in parallel. It’s about moving as one.🤝

But how? How about a multi-robot groupchat?💬

For too long, multi-robot collaboration suffered:

⏱️No shared clock → misaligned actions
🚧Rigid roles → no adaptation to unexpected obstacles or mistakes

💬We need a robot system that can evolve through communication.

💡Meet DeCoNav: A dialog-enhanced long-horizon collaborative vision-language navigation powered by AI Flow which can fix both flaws above at once.

Paper: https://t.co/emEuBQ5LCw

#MultiAgent #Robotics #AI #DeCoNav

[TeleAI @TeleAI_AIFlow]

🚀Under strictly synchronized evaluation, DeCoNav achieves a qualitative leap:

- BSR (Both Success Rate): 0.13 → 0.22
Relative improvement: 69.2%

- Success Rate (SR): 0.28 → 0.39
Relative improvement: 39.3%

[TeleAI @TeleAI_AIFlow]

⚡️From imitator to decision-maker,
PRTS is redefining what a humanoid brain can do.

🧩Code: https://t.co/5CcGJtiKuv

#PRTS #CRL #VisionLanguageAction #Robotics #AIResearch #VLA

[TeleAI @TeleAI_AIFlow]

🤖🧠Robots Now Have a Progress Bar in Their "Brain"

🚀Meet PRTS (Primitive Reasoning and Tasking System)

A VLA foundation model that teaches robots “how close” they are to a goal, not just “what to do”.

Most humanoid brains understand language commands but lack a sense of progress, leading to failures of long-horizon planning or execution.🤦

🥳PRTS fixes that.

🔑Core idea: It reformulates imitation learning as goal-conditioned RL, using CRL (Contrastive Reinforcement Learning) to estimate the probability of success from any state.

🦾Beyond imitations
Handling continuous, self-aware actions.
Paper: https://t.co/hN05g6u7bV

[TeleAI @TeleAI_AIFlow]

🦾Real-world Deployment:
PRTS can generalize seamlessly across different robot hardware.