Pranav @_pranavan
GPU poor :( Joined October 2015-
Tweets412
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Following63
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Likes9K
🔥🚀
Been waiting for this moment! 🔥🚀
AI will become super intelligent very soon, leaving time for humans to think about their existence. As a result, a new collective intelligence will be born, which will restore peace among humans, and it will also show us the path to eternal happiness.
Apple’s brilliant new AI strategy is to prove it doesn’t exist.
Fu*king Legend 🫡
Depth Any Camera (DAC) by @33yuliangguo redefines zero-shot metric depth estimation, excelling across fisheye, 360, and perspective images. Trained only on perspective data, it delivers state-of-the-art accuracy with smaller datasets. Seamless generalization, fewer annotations,…
HaWoR by @JiankangDeng is a cutting-edge method for reconstructing 3D hand motions in world coordinates from egocentric videos. Combining adaptive SLAM and a novel motion infiller achieves state-of-the-art performance, even when hands move out of view. hawor-project.github.io
ProTracker by @Tingyang030707 delivers robust, accurate long-term tracking of arbitrary video points by probabilistically integrating optical flow and semantic features. It outperforms existing methods, handling occlusions and maintaining smooth trajectories. A game-changer for…
EvTexture sets a new benchmark in video super-resolution by leveraging event signals for texture enhancement. Its iterative module delivers unmatched detail restoration, achieving up to 4.67dB gain on Vid4. A breakthrough in VSR texture refinement! dachunkai.github.io/evtexture.gith…
VideoAnydoor by DAMO Academy is a groundbreaking AI for zero-shot video object insertion, offering high fidelity detail preservation and precise motion control. It enables applications like virtual try-ons, face swapping, logo insertion, and multi region editing, all without task…
TokenHMR by @saidwivedi redefines 3D human pose estimation with a novel token-based representation and adaptive loss scaling, achieving state-of-the-art accuracy on in-the-wild benchmarks. A game-changer for precise and robust human mesh recovery. tokenhmr.is.tue.mpg.de
RTMPose and RTMW by @OpenMMLab are high-performance, real-time models for multi-person 2D/3D pose estimation. RTMPose achieves up to 75.8% AP on COCO with over 430 FPS, while RTMW delivers over 940 FPS on GPUs, making them ideal for efficient and accurate real-world applications.…
T-Rex2 revolutionizes object detection with text-visual prompt synergy, enabling zero-shot recognition of diverse objects without extensive training. It's versatile for applications like counting, annotation, and tracking across industries. github.com/IDEA-Research/…
Orient Anything is a powerful model for estimating object orientation from a single image. Trained on 2M rendered images, it excels in zero-shot generalization and real-world accuracy, enhancing applications like 3D pose adjustment and spatial reasoning. orient-anything.github.io
OpenEMMA by @_vztu is a groundbreaking open-source framework for autonomous driving, combining Vision Language Models like GPT-4 with multimodal inputs to predict future waypoints and provide decision rationales. A must-try for researchers and developers! github.com/taco-group/Ope…

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