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Google #Pixel11 features an ultra-thin, redesigned camera bar with an upgraded 48 MP camera for amazing photography in a super slim design¹,² 📷 ¹Reflects megapixels for camera sensor. Camera image resolution output may be less when using default settings. ²Compared to Pixel 10

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43,231 Aufrufe • vor 1 Monat •via X (Twitter)

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The first smartphone I plan to buy in 2026 is the Honor Magic 8 Pro Air. There’s only one reason: despite being absurdly thin and light, it delivers truly uncompromised flagship-level hardware. The Honor Magic 8 Pro Air measures just 6.1 mm in thickness and weighs only 155 g, yet it packs a 5,500 mAh battery. This combination alone is extremely rare. It doesn’t sacrifice experience for thinness. Instead, it force-fits everything a flagship should have into an Air-class body. The camera system is where this phone becomes genuinely outrageous. The main camera features a 50 MP sensor with a 1/1.3-inch large sensor, an f/1.6 aperture, and a 23 mm equivalent focal length, along with OIS optical image stabilization. Through pixel binning, it delivers a 2.4 μm effective pixel size, which is squarely in Pro-grade territory. The ultra-wide camera is also 50 MP, with an f/2.2 aperture, a 16 mm equivalent focal length, and a 112° field of view. It even supports 2.5 cm high-resolution macro photography, making it far from a throwaway lens. For telephoto, the Magic 8 Pro Air uses a 64 MP periscope camera with 3.2× optical zoom, an f/2.6 aperture, and a 74 mm equivalent focal length, once again with OIS. It supports up to 100× digital zoom. In addition, the camera system includes a color temperature sensor and a flicker sensor, completing a full flagship-level imaging setup. The front-facing camera is a 50 MP sensor with an f/2.0 aperture, clearly not an afterthought.

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Dear Samsung user. Expert RAW cameras are often an excellent alternative to the default camera. Its essence is to exchange time for image quality. However, it also has some flaws. Now I will discuss in which scenarios we should not use Expert RAW camera 1. When photographing bright red objects, try not to use Expert RAW cameras. It will capture the bright red object into the final red color. If you have requirements for color accuracy, do not use the Expert RAW camera. The default camera performs better.
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Dear Samsung user. Expert RAW cameras are often an excellent alternative to the default camera. Its essence is to exchange time for image quality. However, it also has some flaws. Now I will discuss in which scenarios we should not use Expert RAW camera 1. When photographing bright red objects, try not to use Expert RAW cameras. It will capture the bright red object into the final red color. If you have requirements for color accuracy, do not use the Expert RAW camera. The default camera performs better.

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[1/6] What representation comes to mind when you think of a ‘camera’? Perhaps an extrinsic + intrinsic matrix? In our ICLR (oral) paper, we instead infer a distributed representation where each pixel is associated with a ray, and show SoTA results for few-view pose estimation.
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[1/6] What representation comes to mind when you think of a ‘camera’? Perhaps an extrinsic + intrinsic matrix? In our ICLR (oral) paper, we instead infer a distributed representation where each pixel is associated with a ray, and show SoTA results for few-view pose estimation.

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The era of ultra-high-resolution imaging has arrived. Modern image sensors exceeding 200 MP resolution are common in smartphones, with over 400 MP sensors under development. However, the large number of pixels poses significant challenges for acquisition and processing, especially on edge devices. Which pixels should be acquired, and when, for bandwidth-efficient imaging and perception? We introduce Policy-based Foveated Imaging and Perception, an on-device, real-time, predictive, and task-aware framework that dynamically allocates sensor resolution to prioritize important regions under specific perception objectives. This paper will be presented at #SIGGRAPH2026! [1/6]
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The Samsung Galaxy A54 5G-128GB. Price: N305,000 Available colours: Awesome Lime, Awesome Graphite and Awesome Black SPECIFICATIONS Display: 6.4 inch IPS display with a resolution of 1080x2340 pixels. Processor: Octa-core RAM: 6GB SIM: Hybrid Dual (Nano Sim, dual stand-by) Camera: 50 MP (wide), 12 MP (ultra-wide), a 5 MP (macro) and a 32 MP (wide) selfie camera. Battery: 5000mAh Li-Po non-removable battery Connectivity: 5G, LTE, GSM, HSPA, Wi-Fi, Bluetooth, and GPS. OS: Android 13 Other Features include: IP67 dust/water resistant (up to 1m for 30 min), Fingerprint (under display, optical), Micro SD slot (uses shared SIM slot), accelerometer, virtual proximity sensing, gyro, compass, barometer (USA only) and a USB type-C charging port For more enquiries or information,please send a DM.

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Samsung Galaxy S25 Ultra has completely targeted its competitors at the iPhone, and no longer competes with Chinese brand phones. This is because young people in South Korea are almost completely occupied by Apple, and Samsung’s strategy is to pull these young people back, so it strives to make Galaxy look like the Apple iPhone. There are several reasons for not competing with Chinese brands: 1. On the surface, although the Chinese Ultra models have powerful cameras and are suitable for those who pursue the ultimate in images, they are only limited to these people. Overall, the sales of Ultra models are not high, and even the sum of all brands of Ultra models cannot be compared with the sales of S24Ultra. 2. Moreover, these models with powerful cameras are relatively thick and heavy, with serious camera bulges, and the design is not perfect. It cannot be perfect. This design may not be suitable for everyone. Samsung will not easily take the risk to adopt this design in the global market. 3. The infinitely enhanced camera configuration will greatly increase the cost, which is difficult for Samsung to accept, and the production of this frequently updated camera may not be able to support Samsung's sales demand of tens of millions. In short, the Chinese brand Ultra model is more like a special non-popular model suitable for geeks. The Galaxy S25 series is defined as a popular model, and it must consider everyone's feelings and sufficient supply. This is why Samsung will not design the S25 Ultra as a Chinese brand Ultra. It remains consistent with the iPhone 16 Pro Max, but subtly. It is always slightly better than it For example, it is a little thinner (8.2mm vs 8.25mm), a little lighter (219g vs 227g), a little narrower bezel, a little stronger performance, a little more camera (retain 3x), a little more ultra-wide-angle pixels (50MP vs 48MP), a little bigger battery, and a little faster charging. Even the most incredible improvement: One UI 7.1 is a little smoother than iOS18 software. This is happening.

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From a single image to a cinematic luxury ad. GPT Image 2 + Seedance 2.0 on Lart AI Try it here: A cinematic luxury fragrance commercial in a premium black-and-gold studio. An elegant, confident woman in her late 20s, wearing a sophisticated black evening gown with subtle gold accents and refined jewelry, walks gracefully toward the camera while holding the fictional perfume AURELIS – Éclat No. 7. The camera opens with an ultra-close-up of the perfume bottle in her hand, highlighting the matte obsidian glass and gold engraving. As she approaches, the camera smoothly dollies backward, maintaining eye contact. She stops in the center, smiles with quiet confidence, looks directly into the camera, and says in a calm, luxurious tone: "Luxury isn't worn... it's remembered. Discover AURELIS. Éclat No. 7." She gently sprays the perfume into the air. The mist transforms into shimmering golden particles that elegantly swirl around her, creating a radiant aura. Her hair and dress move naturally in a soft breeze while cinematic golden light reflects across the scene. The camera performs a smooth orbit around her before transitioning into a dramatic hero shot of the perfume bottle floating beside her. The engraved AURELIS – Éclat No. 7 glows subtly as the background fades into an elegant black-and-gold gradient with luxurious bokeh. Epic cinematic lighting, realistic perfume mist simulation, premium beauty commercial, flawless skin, hyper-realistic product reflections, volumetric lighting, smooth camera movement, luxury fashion campaign aesthetic, IMAX quality, HDR, ultra-detailed, photorealistic, masterpiece, 8K, perfectly synchronized lip movement, natural facial expressions, studio-quality voice, no watermark, no extra text except the fictional brand name on the bottle.

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Apple iPhone 16 vs Pixel 9: Which one should you buy? The iPhone 16 is more of an iterative upgrade over its predecessor, but the Pixel 9 brings several notable upgrades, especially in the camera, design and chipset. While the Tensor G4 may not be as fast as the iPhone 16’s A18 chipset, it no longer heats up and is pretty fast when it comes to multitasking and completing AI-powered tasks. If you are already a part of the Apple ecosystem and have the iPhone 14 or an older device, the iPhone 16 might make sense. On the other hand, the Pixel 9 with its smart AI features, solid design and capable cameras might appeal to to those who want a phone that will get software updates for years to come and want to enjoy the clean user interface stock Android has to offer.

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🎬 Motion Control has arrived! Take full control of your AI videos with 12 dynamic camera shots — from smooth Dolly moves to dramatic Cranes and VFX like Explosions and Disintegration. Perfect for adding cinematic flare, stock footage, product ads, or just experimenting with storytelling. ✨ How it works: 1️⃣ Head to the new Video creation tool 2️⃣ Enter your prompt 3️⃣ Pick your camera shot from the Motion Control panel 4️⃣ (Optional) Add a Style or inspiration image as a start frame 💡Want extra consistency? Train an Element, generate your key stills, and animate them for a fully guided scene. More features are coming soon — including End Frames 👀 So stay tuned, and let us know what you create! 🎥 Lights, camera... Motion! Try it now on the Video page 👉🏻

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BTS from my shoot with the incredible Olivia Madison—her style and charisma were every bit as impressive as her 6’4” frame. With Ivan behind the camera and Lilly Jade XBIZ Miami putting it all together, the dream team was in full effect for an amazing scene. Stay tuned—this one’s going to be unreal. 🔥
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BTS from my shoot with the incredible Olivia Madison—her style and charisma were every bit as impressive as her 6’4” frame. With Ivan behind the camera and Lilly Jade XBIZ Miami putting it all together, the dream team was in full effect for an amazing scene. Stay tuned—this one’s going to be unreal. 🔥

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Recently these super realistic live TV broadcast shots have been going viral everywhere Tried making one myself using GPT Image 2 + Kling 3.0 Prompt: A screenshot from a live Wimbledon TV broadcast during a packed Centre Court match. The camera cuts to the audience, an unbelievably attractive woman in her 20s with long black hair, flawless skin, elegant makeup, and a luxurious aura, seated in the VIP section wearing a sophisticated cream-white low-cut summer outfit with subtle jewelry. She smiles naturally while reacting to the match, unaware she's on camera. Wealthy spectators and champagne glasses around her, old-money tennis atmosphere, shallow depth of field. Full live tennis broadcast overlay: scoreboard, network watermark, broadcast graphics, 16:9 aspect ratio. The image looks exactly like a real TV screenshot, telephoto broadcast lens, realistic live color grading, slight compression artifacts, interlacing grain, subtle motion blur, imperfect live-camera framing.
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Recently these super realistic live TV broadcast shots have been going viral everywhere Tried making one myself using GPT Image 2 + Kling 3.0 Prompt: A screenshot from a live Wimbledon TV broadcast during a packed Centre Court match. The camera cuts to the audience, an unbelievably attractive woman in her 20s with long black hair, flawless skin, elegant makeup, and a luxurious aura, seated in the VIP section wearing a sophisticated cream-white low-cut summer outfit with subtle jewelry. She smiles naturally while reacting to the match, unaware she's on camera. Wealthy spectators and champagne glasses around her, old-money tennis atmosphere, shallow depth of field. Full live tennis broadcast overlay: scoreboard, network watermark, broadcast graphics, 16:9 aspect ratio. The image looks exactly like a real TV screenshot, telephoto broadcast lens, realistic live color grading, slight compression artifacts, interlacing grain, subtle motion blur, imperfect live-camera framing.

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48 consistent camera feeds of me all from one casual video capture. This is 4DAnyone. I am testing it out over the holiday week, the goal is 4D Gaussian Splatting from a single camera. Should out to Pablo Vela' for inspiring me to use Rerun to visualize my progress. Right now you see 6 cameras, but I can cycle through all 48. I hacked together this visualization using ChatGPT's new Astra model in VS Code. Literally took less than 10 minutes. More coming soon. Learn more about 4DAnyone Here: You can also try Pablo's 6 view 4DAnyone generator on Hugging Face here: Jeremy Park, PhD Robert Scoble #Computervision #3D #4DGS

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The question of why the pilot doesn't appear to take evasive action often comes up when viewing gun camera footage and there are several factors to consider in this regard First of all these cameras usually captured film at a relatively high frame rate, for example the US AN-N6 camera had three selectable frame rates, 16, 32 and 64 frames per second and usually the middle speed was selected A typical playback rate is 24 frames per second when such films are digitized so one would be viewing it at 75% real time in that case, basically the action is actually happening faster than what one can see on screen Below is an example of US Navy gun camera footage first as digitized and with playback speed corrected to be closer to real time This indicates that in reality the pilot being targeted would in fact not have had a lot of time react before it was too late

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Quick tip for those doing FPV shots on Seedance 2 🔥 A lot of people draw a trajectory on an image to guide the camera movement… But if you really want to unlock the full power of the model without limiting it, create your trajectory directly with a strong, detailed prompt. The difference is massive. Are you team “draw trajectory on image” or team “detailed prompt” for your FPV shots? Tell me in the comments 👇

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#UnityTips How to simulate RC cars in Unity? With the default settings, at 10 m/s (36 km/h), each physics step moves the car 20 cm, which is a huge distance for an RC car. The solution is to increase the physics rate according to the scale of the simulated car. For example, a 1:10 scale RC car requires a 10x higher physics rate to be simulated with the same spatial resolution as a standard-sized car. In Unity, this means reducing Project Settings > Time > Fixed Timestep from 0.02 (50 Hz, default) to 0.002 (500 Hz). Videos and solution explained: #Unity #MadeWithUnity #UnityTips #Physics #Simulator #IndieDev #GameDev #GamePhysics #TireSimulation #Racing #RadioControl

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Continuous unbroken shot with image references with Kling 3.0 Omni. Prompt : Hyper-realistic cinematic action sequence using all uploaded images as visual references, presented as one seamless, unbroken continuous shot. A lone motorbike rider begins as a tiny silhouette crossing a glowing meadow beneath an immense, shadowed forest canopy. The camera descends rapidly from a sweeping aerial view, skimming the grass before locking beside the bike as it enters a corridor of colossal moss-covered trees. The rider accelerates through wet earth, drifting around roots and rocks as mud, leaves, water droplets, and mist explode into the air. The camera swings behind the rider for an intense low chase, circles smoothly around the bike, then races ahead while facing backward through shafts of green daylight. Without any cuts, the trail rises onto an abandoned railway bridge covered in vines, passing forgotten overgrown train carriages and a dark tunnel entrance. The camera drops beneath the bridge to reveal the river and vast forest below, then climbs back around the rider as the bridge transforms into a narrow elevated ridge. The motorcycle bursts into a luminous clearing at the edge of a towering grass-covered cliff. The camera pulls dramatically outward into an immense panoramic view, revealing the rider suspended above an endless emerald valley. Maintain consistent rider, bike, lighting, forest geography, momentum, cinematic realism, natural motion blur, atmospheric depth, and fluid camera movement throughout.
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Continuous unbroken shot with image references with Kling 3.0 Omni. Prompt : Hyper-realistic cinematic action sequence using all uploaded images as visual references, presented as one seamless, unbroken continuous shot. A lone motorbike rider begins as a tiny silhouette crossing a glowing meadow beneath an immense, shadowed forest canopy. The camera descends rapidly from a sweeping aerial view, skimming the grass before locking beside the bike as it enters a corridor of colossal moss-covered trees. The rider accelerates through wet earth, drifting around roots and rocks as mud, leaves, water droplets, and mist explode into the air. The camera swings behind the rider for an intense low chase, circles smoothly around the bike, then races ahead while facing backward through shafts of green daylight. Without any cuts, the trail rises onto an abandoned railway bridge covered in vines, passing forgotten overgrown train carriages and a dark tunnel entrance. The camera drops beneath the bridge to reveal the river and vast forest below, then climbs back around the rider as the bridge transforms into a narrow elevated ridge. The motorcycle bursts into a luminous clearing at the edge of a towering grass-covered cliff. The camera pulls dramatically outward into an immense panoramic view, revealing the rider suspended above an endless emerald valley. Maintain consistent rider, bike, lighting, forest geography, momentum, cinematic realism, natural motion blur, atmospheric depth, and fluid camera movement throughout.

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Most imitation learning policies break when the camera moves or the robot changes. NOT THIS ONE 👇 [📍 Bookmark for later ] A new 3D scene representation encoder, tackles this by enabling zero-shot generalization to unseen embodiments and viewpoints… And it works with any IL algorithm. The trick? •Use a 2D foundation model to extract semantic features •Lift them into 3D space for localization (not semantics) •Condition the IL policy on this spatially grounded vector Across 93 simulated and 6 real tasks, Adapt3R: ✅ Maintains IL performance on LIBERO & MimicGen benchmarks ✅ Outperforms DP3 and 3D Diffuser Actor in most settings ✅ Holds >80% success on LIBERO even with large camera rotations Thanks for sharing this, Animesh Garg & Albert Wilcox! 📍Paper: Website: Code:
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Most imitation learning policies break when the camera moves or the robot changes. NOT THIS ONE 👇 [📍 Bookmark for later ] A new 3D scene representation encoder, tackles this by enabling zero-shot generalization to unseen embodiments and viewpoints… And it works with any IL algorithm. The trick? •Use a 2D foundation model to extract semantic features •Lift them into 3D space for localization (not semantics) •Condition the IL policy on this spatially grounded vector Across 93 simulated and 6 real tasks, Adapt3R: ✅ Maintains IL performance on LIBERO & MimicGen benchmarks ✅ Outperforms DP3 and 3D Diffuser Actor in most settings ✅ Holds >80% success on LIBERO even with large camera rotations Thanks for sharing this, Animesh Garg & Albert Wilcox! 📍Paper: Website: Code:

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This footage is believed to have been recorded on September 18, 2024, at approximately 11:41 PM by a fixed CCTV camera monitoring the hallway of a residential apartment building. A man walks up to Apartment 307 and stands silently facing the closed door. For over three hours, he remains completely motionless while several residents walk past without acknowledging him. A brief camera glitch causes several frames of digital distortion. When the image returns, the man is suddenly standing only inches from the door, despite no visible movement being captured. He does not move again. The recording ends with him still silently facing Apartment 307. Some viewers believe the position change may be the result of dropped frames or surveillance recording errors, while others consider the unexplained shift after the camera glitch to be the most unusual aspect of the footage.

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