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ABCDEF… interpolation test. Realtime vector graphics at 120 FPS, no pixels. Original HP font.

ertdfgcvb 𓅰 𓅬 𓅭 𓅮 𓅯

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12,812 views • 3 months ago •via X (Twitter)

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No hate to OP, but here's the same section of Bloody Stream but at the original 24 fps just to illustrate how much 60 fps interpolation ruins the animation

No hate to OP, but here's the same section of Bloody Stream but at the original 24 fps just to illustrate how much 60 fps interpolation ruins the animation

🐤Pë€P🐥 COMM SLOTS ON HOLD

498,426 views • 2 months ago

X-Y-(Z), third chapter. JS code streaming itself in realtime from the browser to an HP vector display. No pixels, phosphor only. ♫ “Relay” by Gooooose (One of my favorite tracks of 2025, used with permission) Bit-bang magic by Alphonse🌱

X-Y-(Z), third chapter. JS code streaming itself in realtime from the browser to an HP vector display. No pixels, phosphor only. ♫ “Relay” by Gooooose (One of my favorite tracks of 2025, used with permission) Bit-bang magic by Alphonse🌱

ertdfgcvb 𓅰 𓅬 𓅭 𓅮 𓅯

21,163 views • 3 months ago

“120 FPS isn’t objectively better, that’s subjective.” No it’s not? It’s objectively better. So is 60 FPS no longer objectively better than 30 FPS? So framerate is a subjective issue, Mr. “I don’t play games at 30FPS?”

“120 FPS isn’t objectively better, that’s subjective.” No it’s not? It’s objectively better. So is 60 FPS no longer objectively better than 30 FPS? So framerate is a subjective issue, Mr. “I don’t play games at 30FPS?”

Josh the Editor

169,044 views • 6 months ago

An extremely complex example of Vector Feathering in César yet crazy fast render! — No detail loss at zoom — It's interactive, and layers follow the mouse, imitating real light — Shadows and highlights have a convincing penumbra — 400+ FPS — Works on old, weak machines

An extremely complex example of Vector Feathering in César yet crazy fast render! — No detail loss at zoom — It's interactive, and layers follow the mouse, imitating real light — Shadows and highlights have a convincing penumbra — 400+ FPS — Works on old, weak machines

Dmitry Novikov 🇺🇦

30,793 views • 1 year ago

The atmosphere in 60seconds of my Deep Dark Forest A Physcological Horror Experience This is standalone version running at 120/140fps 4k Native Epic Settings RTX4090 NO Lumen, NO Raytrace, NO Baking, NO Pathtrace, NO DLSS Lighting with Ultra Dynamic Sky Unreal Engine 5.5.4 Nanite and Ambient Occlution with SSR reflections All is realtime #ue5 #UnrealEngine5 #unrelengine #realism #lighting #forest #nanite #UDS #quixel #realtime #videogames #horror #mood #witch Unreal Engine 80 LEVEL ArtStation.com Quixel

The atmosphere in 60seconds of my Deep Dark Forest A Physcological Horror Experience This is standalone version running at 120/140fps 4k Native Epic Settings RTX4090 NO Lumen, NO Raytrace, NO Baking, NO Pathtrace, NO DLSS Lighting with Ultra Dynamic Sky Unreal Engine 5.5.4 Nanite and Ambient Occlution with SSR reflections All is realtime #ue5 #UnrealEngine5 #unrelengine #realism #lighting #forest #nanite #UDS #quixel #realtime #videogames #horror #mood #witch Unreal Engine 80 LEVEL ArtStation.com Quixel

Pasquale Scionti

18,618 views • 1 year ago

Smooth 135+ FPS on my Rig with no drop all ultra settings! Will probably get around 110-120 with DLSS OFF! The cutscenes are unfortunately locked at 30 FPS! Great game none the less, fantastic character, out of the world boss fight and best FF combat till date ngl

Smooth 135+ FPS on my Rig with no drop all ultra settings! Will probably get around 110-120 with DLSS OFF! The cutscenes are unfortunately locked at 30 FPS! Great game none the less, fantastic character, out of the world boss fight and best FF combat till date ngl

Yash

18,101 views • 1 year ago

More progress of my Deep Dark Forest Physcological Horror Experience This is standalone version running at 120/140fps 4k Native Epic Settings RTX4090 NO Lumen, NO Raytrace, NO Baking, NO Pathtrace, NO DLSS Lighting with Ultra Dynamic Sky Unreal Engine 5.5.4 Nanite and Ambient Occlution with SSR reflections All is realtime #ue5 #UnrealEngine5 #unrelengine #realism #lighting #forest #nanite #UDS #quixel #realtime #videogames #horror #mood #witch Unreal Engine 80 LEVEL ArtStation.com Quixel

More progress of my Deep Dark Forest Physcological Horror Experience This is standalone version running at 120/140fps 4k Native Epic Settings RTX4090 NO Lumen, NO Raytrace, NO Baking, NO Pathtrace, NO DLSS Lighting with Ultra Dynamic Sky Unreal Engine 5.5.4 Nanite and Ambient Occlution with SSR reflections All is realtime #ue5 #UnrealEngine5 #unrelengine #realism #lighting #forest #nanite #UDS #quixel #realtime #videogames #horror #mood #witch Unreal Engine 80 LEVEL ArtStation.com Quixel

Pasquale Scionti

33,180 views • 1 year ago

making my threejs / webgpu star renderer (planetarium?) more of a real thing. renders 44 million stars from the gaia star catalog at 120 fps. there's no LOD/culling. every star in frame is drawn. next is adding a nice API for agents to write "tours" that play automatically

making my threejs / webgpu star renderer (planetarium?) more of a real thing. renders 44 million stars from the gaia star catalog at 120 fps. there's no LOD/culling. every star in frame is drawn. next is adding a nice API for agents to write "tours" that play automatically

Codetaur

40,672 views • 3 months ago

Assassin's Creed Valhalla - 170 GB, hour+ long download on Steam at 120 Mbit/s With Via you are in game in <5 min with <5 gigs of data on disk. Ubisoft's Anvil engine tech seems pretty good to me, good loading code and no fps stutters due to streaming.

Assassin's Creed Valhalla - 170 GB, hour+ long download on Steam at 120 Mbit/s With Via you are in game in <5 min with <5 gigs of data on disk. Ubisoft's Anvil engine tech seems pretty good to me, good loading code and no fps stutters due to streaming.

Ryan Flaherty

19,443 views • 2 years ago

My Cyber Streets Tech Demo Unreal Engine 5.5.3 Nanite More progress insert some interiors Runs on Rog Ally AMD Ryzen Z1 Extreme 16gb Ram, refresh rate 120hz and resolution set to 1280x720 High Settings + Vsync 45 - 55 fps on 30W. NO Megalights NO RTX NO Lumen NO Pathtrace NO Baked all dynamic using Ambient Occlution, distance field meshes and SSR for reflections Lighting and rain vfx with Ultra Dynamic Sky Running at 4k Native 100fps on RTX4090 Epic Settings Assets from KitBash3D leartesstudios Quixel and Marketplace everything was placed manually. Cables created with Spline BP Soon standalone benchmark for everyone to test 👇 #futuristic #cyberpunk #scifi #ue5 #unreal #unrealengine5 #realism #photography #futureslums #realism #megascans #neon #cyberstreets #cinematic #quixel #realtime #videogames #cyberpunk2077 #lumen #videogame #cinematic #rtx4090 #scifi #artstationhq #quixel #tech Unreal Engine 80 LEVEL gameranx

My Cyber Streets Tech Demo Unreal Engine 5.5.3 Nanite More progress insert some interiors Runs on Rog Ally AMD Ryzen Z1 Extreme 16gb Ram, refresh rate 120hz and resolution set to 1280x720 High Settings + Vsync 45 - 55 fps on 30W. NO Megalights NO RTX NO Lumen NO Pathtrace NO Baked all dynamic using Ambient Occlution, distance field meshes and SSR for reflections Lighting and rain vfx with Ultra Dynamic Sky Running at 4k Native 100fps on RTX4090 Epic Settings Assets from KitBash3D leartesstudios Quixel and Marketplace everything was placed manually. Cables created with Spline BP Soon standalone benchmark for everyone to test 👇 #futuristic #cyberpunk #scifi #ue5 #unreal #unrealengine5 #realism #photography #futureslums #realism #megascans #neon #cyberstreets #cinematic #quixel #realtime #videogames #cyberpunk2077 #lumen #videogame #cinematic #rtx4090 #scifi #artstationhq #quixel #tech Unreal Engine 80 LEVEL gameranx

Pasquale Scionti

28,005 views • 1 year ago

We're preparing for the second playtest of MIGHTREYA! Based on user feedback from the previous test, we've fixed bugs and added new features. We’d love to have your support again—please join us for the next round! To join the playtest, please join our Discord server. A selection of the new features we’ve added -Camera Assist (Hard Lock-On) -Takedown Converted to QTE -Duplicate Move Penalty -Expanded Graphics Options: V-Sync, FPS Cap, AI Upscaling -Enemy Warp Recovery When Stuck in Terrain -Stage Progression Navigation -Boss Guard Gauge Recovery and HP Adjustment -Boss Takedown Implementation -Boss Intro Cutscene -UI Operation Guide -Simplified Command List -Tutorial Level -One-Point Tutorials -Streaming Comment Features: Move Requests, Super Chat Integration -Cut-In Animation for Level 5 Charged Moves -Sub-Attack Motion and Performance Adjustments -Forced Transformation Cancel at Low HP -Option: Toggle PlayStation-Style Button Icons -Score and Result System Finalized: Displays Final Rank -Lock-On Distance Adjustment

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Wishlist MIGHTREYA on Steam

36,048 views • 10 months ago

Behold the CSX 4602—one of only two full-copper Shelby Cobras ever built. Hand-formed from 17 polished copper panels, this 1997 continuation 427 S/C is a rolling masterpiece. 550 HP from a 468ci side-oiler V8. 218 original miles. Sold for $990,000 at Mecum Indy 2025. No paint. No plating. Just pure, mirror-bright copper that ages like fine art.

Behold the CSX 4602—one of only two full-copper Shelby Cobras ever built. Hand-formed from 17 polished copper panels, this 1997 continuation 427 S/C is a rolling masterpiece. 550 HP from a 468ci side-oiler V8. 218 original miles. Sold for $990,000 at Mecum Indy 2025. No paint. No plating. Just pure, mirror-bright copper that ages like fine art.

𝐃𝐔𝐓𝐂𝐇

431,543 views • 8 months ago

Slate Auto just announced pricing for their upcoming budget EV. • Blank Slate Truck (base): $24,950 • SUV Configuration starts at $29,950 • 205 miles of range • 65 kWh LFP battery • Up to 120 kW fast charging (NACS) • 181 hp, 0-60 mph in 8.0s • Up to 1,550 lbs payload • Up to 2,000 lbs towing capacity No infotainment, speakers, or power windows in the bare-bones version.

Slate Auto just announced pricing for their upcoming budget EV. • Blank Slate Truck (base): $24,950 • SUV Configuration starts at $29,950 • 205 miles of range • 65 kWh LFP battery • Up to 120 kW fast charging (NACS) • 181 hp, 0-60 mph in 8.0s • Up to 1,550 lbs payload • Up to 2,000 lbs towing capacity No infotainment, speakers, or power windows in the bare-bones version.

Nic Cruz Patane

472,849 views • 28 days ago

I found my original Springtrap takes for 5 AM at Freddy's: The Sequel! They were recorded the 30th and 31st of October, 2015. I also found a test recording from two months prior. Enjoy hearing 16-year-old me yelling into a Blue Snowball having absolutely no clue what mic gain is!

I found my original Springtrap takes for 5 AM at Freddy's: The Sequel! They were recorded the 30th and 31st of October, 2015. I also found a test recording from two months prior. Enjoy hearing 16-year-old me yelling into a Blue Snowball having absolutely no clue what mic gain is!

Zach Fuller

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I built my own graphics library and got a whole map of my city onto a device with only 64kb of free RAM using my own rendering method written entirely in C & assembly, and a converter that take GeoJSON files and compresses them - this one went from 5mb to 34kb in my proprietary binary format, uses linedraw vector rendering to keep the entire memory buffer at only 8kb of RAM whilst tiling larger maps In short Screw google, aint no reason maps needs to be gigabytes of RAM to use

Shimazu.S

1,444,140 views • 5 months ago

Sonic Unleashed (2008) Recompiled for PC! DOWNLOAD BELOW! This is the definitive way to experience the game! With a static recompilation of the original on 360! THIS IS AN ENHANCED PC PORT: - Native 60+ FPS unlocked, ultrawide support, and resolutions beyond 4K - Graphics upgrades: improved AA, DoF, motion blur, - New in-game options menu with extensive QoL features (disable hints, Werehog music, and more) - Full mod support via Hedge Mod Manager - Achievements and faithful new menus - Low input latency with async shader compilation (no stutters) - DualSense/DualShock LED and touchpad support, D-Pad play, controller icon options - Windows and Linux support (Steam Deck ready)

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Stormslayer 🔜QUAKECON 2026 -HD Remasters/Gamedev

109,938 views • 1 month ago

I’m starting to think that what began as "let’s try a Magnific that doesn’t change faces" might end up being Magnific’s biggest hit since we started doing AI stuff. The more I test it, the more use cases I find. For example, I’ve been playing around with historical photos and… joder, it actually works really well for restoration. It even preserves the original noise nicely without going all “plastic denoise” on everything! [Maybe the weapon area could be improved, but textils are so good, no?] M. Precision feels like a whole new dimension: “as faithful to the original image as possible, but filling in the missing detail in the new pixels.” Not there yet, but starting to feel like magic 🪄 I think it’s time to release the kraken for beta… hoping to start beta testing tomorrow!

I’m starting to think that what began as "let’s try a Magnific that doesn’t change faces" might end up being Magnific’s biggest hit since we started doing AI stuff. The more I test it, the more use cases I find. For example, I’ve been playing around with historical photos and… joder, it actually works really well for restoration. It even preserves the original noise nicely without going all “plastic denoise” on everything! [Maybe the weapon area could be improved, but textils are so good, no?] M. Precision feels like a whole new dimension: “as faithful to the original image as possible, but filling in the missing detail in the new pixels.” Not there yet, but starting to feel like magic 🪄 I think it’s time to release the kraken for beta… hoping to start beta testing tomorrow!

Javi Lopez ⛩️

65,256 views • 1 year ago

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

zostaff

230,194 views • 3 months ago

I still remember the first time I saw this game in the arcade. The stunning graphics and sound, along with the rally courses running in high resolution at 60 frames per second, were absolutely mind-blowing. The way the car slid so perfectly along the course delivered a refreshing driving feel that no previous rally game had ever given me. Of course, the home versions couldn’t quite match the arcade original, but the ports for the Sega Saturn and PC were still impressively well done and became very popular. And the sequel, Sega Rally 2, was absolutely amazing as well.

I still remember the first time I saw this game in the arcade. The stunning graphics and sound, along with the rally courses running in high resolution at 60 frames per second, were absolutely mind-blowing. The way the car slid so perfectly along the course delivered a refreshing driving feel that no previous rally game had ever given me. Of course, the home versions couldn’t quite match the arcade original, but the ports for the Sega Saturn and PC were still impressively well done and became very popular. And the sequel, Sega Rally 2, was absolutely amazing as well.

Gamer_lafan

13,554 views • 1 month ago

Been optimizing my ASS OFF now that jnmartin has pushed all of his progress on his Star Fox 64 Sega Dreamcast port to a private GitHub repo to collaborate with a bunch of us DC devs before release. MAN this thing is HIGHLY optimized already... We're essentially running a high-level emulator for the N64's RSP coprocessor, doing graphics transforms, matrix math, and display list conversions not only on the main SH4 CPU, but also sitting atop a high-level OpenGL driver, in real-time. Not only that, but once again, we're doing all audio synthesis and mixing also on the main SH4 CPU, so this thing is doing a literal asston on the main CPU with what might seem like a relatively straightforward port. 99% of the time, everything runs flawlessly, but when you drop a bomb on a shitfest of enemies in a densely populated area, as with the N64 original, the FPS can dip momentarily. Here's a direct hardware capture of me testing a new SH4 optimized routine out for gainz on my Sega Dreamcast... this mofo is meant be used for one-off 3D vector transforms by a single matrix which has not been preloaded into the XMTRX FP register matrix back-bank. Rather than doing a full 4x4 load on the matrix just to do a single 4D transform via the FTRV instruction, we're simply peforming 3 3D dot products against a single 3D vector, allowing us to pipeline the loads, dot products, and store operations better than doing a load all at once followed by a transform, and we aren't wasting a lane on the FPU for a 0.0f W component!

Been optimizing my ASS OFF now that jnmartin has pushed all of his progress on his Star Fox 64 Sega Dreamcast port to a private GitHub repo to collaborate with a bunch of us DC devs before release. MAN this thing is HIGHLY optimized already... We're essentially running a high-level emulator for the N64's RSP coprocessor, doing graphics transforms, matrix math, and display list conversions not only on the main SH4 CPU, but also sitting atop a high-level OpenGL driver, in real-time. Not only that, but once again, we're doing all audio synthesis and mixing also on the main SH4 CPU, so this thing is doing a literal asston on the main CPU with what might seem like a relatively straightforward port. 99% of the time, everything runs flawlessly, but when you drop a bomb on a shitfest of enemies in a densely populated area, as with the N64 original, the FPS can dip momentarily. Here's a direct hardware capture of me testing a new SH4 optimized routine out for gainz on my Sega Dreamcast... this mofo is meant be used for one-off 3D vector transforms by a single matrix which has not been preloaded into the XMTRX FP register matrix back-bank. Rather than doing a full 4x4 load on the matrix just to do a single 4D transform via the FTRV instruction, we're simply peforming 3 3D dot products against a single 3D vector, allowing us to pipeline the loads, dot products, and store operations better than doing a load all at once followed by a transform, and we aren't wasting a lane on the FPU for a 0.0f W component!

Falco Girgis

36,911 views • 8 months ago