🆔 Magic-Me: ID-Specific Video 🆔

👉#ByteDance VCD: with just a few images of a specific identity it can generate temporal consistent videos aligned with the given prompt

👉Review https://t.ly/qjJ2O
👉Paper arxiv.org/pdf/2402.09368.pdf
👉Project magic-me-webpage.github.io
👉Code github.com/Zhen-Dong/Magic-Me

🔥 Breaking: GEMINI 1.5 is out 🔥

👉Gemini 1.5 just announced: standard 128,000 token context window, up to 1 MILLION tokens via AI-Studio and #Vertex AI in private preview 🫠

👉Review https://t.ly/Vblvx
👉More: https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/#build-experiment

🔥 Seeing Through Occlusions: code is out 🔥

👉Repo: https://github.com/princeton-computational-imaging/NSF

☀️ One2Avatar: Pic -> 3D Avatar ☀️

👉#Google presents a new approach to generate animatable photo-realistic avatars from only a few/one image. Impressive results.

👉Review https://t.ly/AS1oc
👉Paper arxiv.org/pdf/2402.11909.pdf
👉Project zhixuany.github.io/one2avatar_webpage/

🪟 BOG: Fine Geometric Views 🪟

👉 #Google (+Tübingen) unveils Binary Opacity Grids, a novel method to reconstruct triangle meshes from multi-view images able to capture fine geometric detail such as leaves, branches & grass. New SOTA, real-time on Google Pixel 8 Pro (and similar).

👉Review https://t.ly/E6T0W
👉Paper https://lnkd.in/dQEq3zy6
👉Project https://lnkd.in/dYYCadx9
👉Demo https://lnkd.in/d92R6QME

🦥Neuromorphic Video Binarization🦥

👉 University of HK unveils the new SOTA in event-based neuromorphic binary reconstruction: stunning results on QR Code, barcode, & Text. Real-Time, only CPU, up to 10,000 FPS!

👉Review https://t.ly/V-NFa
👉Paper arxiv.org/pdf/2402.12644.pdf
👉Project github.com/eleboss/EBR

🩻 Pose via Ray Diffusion 🩻

👉Novel distributed representation of camera pose that treats a camera as a bundle of rays. Naturally suited for set-level transformers, it's the new SOTA on camera pose estimation. Source code released 💙

👉Review https://t.ly/qBsFK
👉Paper arxiv.org/pdf/2402.14817.pdf
👉Project jasonyzhang.com/RayDiffusion
👉Code github.com/jasonyzhang/RayDiffusion

🗃️ MATH-Vision Dataset 🗃️

👉MATH-V is a curated dataset of 3,040 HQ mat problems with visual contexts sourced from real math competitions. Dataset released 💙

👉Review https://t.ly/gmIAu
👉Paper arxiv.org/pdf/2402.14804.pdf
👉Project mathvision-cuhk.github.io/
👉Code github.com/mathvision-cuhk/MathVision

🫅FlowMDM: Human Composition🫅

👉FlowMDM, a diffusion-based approach capable of generating seamlessly continuous sequences of human motion from textual descriptions.

👉Review https://t.ly/pr2g_
👉Paper https://lnkd.in/daYRftdF
👉Project https://lnkd.in/dcRkv5Pc
👉Repo https://lnkd.in/dw-3JJks

🎷EMO: talking/singing Gen-AI 🎷

👉EMO: audio-driven portrait-video generation. Vocal avatar videos with expressive facial expressions, and various head poses. Input: 1 single frame, video duration = length of input audio

👉Review https://t.ly/4IYj5
👉Paper https://lnkd.in/dGPX2-Yc
👉Project https://lnkd.in/dyf6p_N3
👉Repo (empty) github.com/HumanAIGC/EMO

💌 Multi-LoRA Composition 💌

👉Two novel training-free image composition: LoRA Switch and LoRA Composite for integrating any number of elements in an image through multi-LoRA composition. Source Code released 💙

👉Review https://t.ly/GFy3Z
👉Paper arxiv.org/pdf/2402.16843.pdf
👉Code github.com/maszhongming/Multi-LoRA-Composition

💥 MM-AU: Video Accident 💥

👉MM-AU - Multi-Modal Accident Understanding: 11,727 videos with temporally aligned descriptions. 2.23M+ BBs, 58,650 pairs of video-based accident reasons. Data & Code announced 💙

👉Review https://t.ly/a-jKI
👉Paper arxiv.org/pdf/2403.00436.pdf
👉Dataset https://www.lotvsmmau.net/MMAU/demo

🔥 SOTA: Stable Diffusion 3 is out! 🔥

👉Stable Diffusion 3 is the new SOTA in text-to-image generation (based on human preference evaluations). New Multimodal Diffusion Transformer (MMDiT) architecture uses separate sets of weights for image & language, improving text understanding/spelling capabilities. Weights & Source Code to be released 💙

👉Review https://t.ly/a1koo
👉Paper https://lnkd.in/d4i-9Bte
👉Blog https://lnkd.in/d-bEX-ww

🧵E-LoFTR: new Feats-Matching SOTA🧵

👉A novel LoFTR-inspired algorithm for efficiently producing semidense matches across images: up to 2.5× faster than LoFTR, superior to previous SOTA pipeline (SuperPoint + LightGlue). Code announced.

👉Review https://t.ly/7SPmC
👉Paper https://arxiv.org/pdf/2403.04765.pdf
👉Project https://zju3dv.github.io/efficientloftr/
👉Repo https://github.com/zju3dv/efficientloftr

🦁StableDrag: Point-based Editing🦁

👉#Tencent unveils StableDrag, a novel point-based image editing framework via discriminative point tracking method + confidence-based latent enhancement strategy for motion supervision. Source Code announced but still no repo.

👉Review https://t.ly/eUI05
👉Paper https://lnkd.in/dz8-ymck
👉Project stabledrag.github.io/

🏛️ PIXART-Σ: 4K Generation 🏛️

👉PixArt-Σ is a novel Diffusion Transformer model (DiT) capable of directly generating images at 4K resolution. Authors: #Huawei, Dalian, HKU & HKUST. Demos available, code announced 💙

👉Review https://t.ly/Cm2Qh
👉Paper arxiv.org/pdf/2403.04692.pdf
👉Project pixart-alpha.github.io/PixArt-sigma-project/
👉Repo (empty) github.com/PixArt-alpha/PixArt-sigma
🤗-Demo https://huggingface.co/spaces/PixArt-alpha/PixArt-alpha

👺 Can GPT-4 play DOOM? 👺

👉Apparently yes, GPT-4 can play the game to a passable degree: it is able to manipulate doors, combat enemies, and perform pathing. Code (with licensing restrictions) released

👉Review https://t.ly/W8-0F
👉Paper https://lnkd.in/dmsB7bjA
👉Project https://lnkd.in/ddDPwjQB

🪖RT Humanoid from Head-Mounted Sensors🪖

👉#META (+CMU) announced SimXR, a method for controlling a simulated avatar from info obtained from AR/VR headsets

👉Review https://t.ly/Si2Mp
👉Paper arxiv.org/pdf/2403.06862.pdf
👉Project www.zhengyiluo.com/SimXR/

🏷️ Face Foundation Model 🏷️

👉Arc2Face, the first foundation model for human faces. Source Code released 💙

👉Review https://t.ly/MfAFI
👉Paper https://lnkd.in/dViE_tCd
👉Project https://lnkd.in/d4MHdEZK
👉Code https://lnkd.in/dv9ZtDfA

🪼FaceXFormer: Unified Face-Transformer🪼

👉FaceXFormer, the first unified transformer for facial analysis: face parsing, landmark detection, head pose, attributes recognition, age, gender, race, and landmarks.

👉Review https://t.ly/MfAFI
👉Paper https://arxiv.org/pdf/2403.12960.pdf
👉Project kartik-3004.github.io/facexformer_web/
👉Code github.com/Kartik-3004/facexformer