Загрузка видео...

Не удалось загрузить видео

На главную

Summer Cammy low-res preview Another EEVEE test. I fixed the simulation issues and got a good workflow for working fast with this rig. Low-res render at only 16 samples. Besides the film grain/music, everything was done in Blender+EEVEE in realtime, including compositing/grade

HardGutem's profile picture

A$AP BERG

19,834 subscribers

165,846 просмотров • 6 месяцев назад •via X (Twitter)

ИскусствоОбразованиеНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Okay, Trekfriendos, I'm done with this for now! I'm very happy with the results, so much so, I splurged on a low-noise, high-sample 25-hour render! Now I just gotta update the "retaliation" shot to match the new phaser and shield effects. 4K in the 🧵!
0:13

Okay, Trekfriendos, I'm done with this for now! I'm very happy with the results, so much so, I splurged on a low-noise, high-sample 25-hour render! Now I just gotta update the "retaliation" shot to match the new phaser and shield effects. 4K in the 🧵!

Howie Day

82,421 просмотров • 3 лет назад

🎉 5k PR: 16:57! Massive 48 second PR from 2 months ago. It’s still sinking in that I hit this goal, especially in humid conditions. It took everything I had, including a 77 second kick for the last 400m to bring it under 17. I put in the work, prayed, and we got it done ✝️
0:16

🎉 5k PR: 16:57! Massive 48 second PR from 2 months ago. It’s still sinking in that I hit this goal, especially in humid conditions. It took everything I had, including a 77 second kick for the last 400m to bring it under 17. I put in the work, prayed, and we got it done ✝️

Brian Drago

39,931 просмотров • 2 лет назад

Arcads has become my dad's favorite He now revisits all his memories, upscales them with pixel-perfect accuracy, and shares them with everyone in the family. I have a dead-simple guide on how to: - Upscale low-res files upto 4K - Create ugc and b-rolls with ai - Make viral ads at scale Want it for FREE? Like + comment "SEND" and I will share it with you in your DM 📩 (must be following so I can dm you)
0:12

Arcads has become my dad's favorite He now revisits all his memories, upscales them with pixel-perfect accuracy, and shares them with everyone in the family. I have a dead-simple guide on how to: - Upscale low-res files upto 4K - Create ugc and b-rolls with ai - Make viral ads at scale Want it for FREE? Like + comment "SEND" and I will share it with you in your DM 📩 (must be following so I can dm you)

Kritarth Mittal | Soshals

28,389 просмотров • 10 месяцев назад

Hi everyone! I’m happy to share that I’ve been given the opportunity to create a class with Coloso! This low-poly chibi model and animation are what I’ve been building for the class — covering modeling, texturing, rigging, animation, effects, and After Effects compositing. Pre-orders open on Coloso Global next week, and Coloso and I put together a $55 coupon for my followers. Coupon link in the replies! 👇 Coloso Global #Blender #AfterEffects #b3d #3d #animation
0:14

Hi everyone! I’m happy to share that I’ve been given the opportunity to create a class with Coloso! This low-poly chibi model and animation are what I’ve been building for the class — covering modeling, texturing, rigging, animation, effects, and After Effects compositing. Pre-orders open on Coloso Global next week, and Coloso and I put together a $55 coupon for my followers. Coupon link in the replies! 👇 Coloso Global #Blender #AfterEffects #b3d #3d #animation

cartridge102

46,084 просмотров • 21 дней назад

TIME SENSITIVE. Couple months ago I posted a google form for a free model for a 12hr speedrun and got 1600 submissions (INCLUDES BOTH ART AND RIG). This time, the doc will ONLY be open for an hour since this was posted. Link is in the comments. Good luck (Bellow are the results of my last 12hr speedrun, model was given for free to @Ramrancherr )
0:11

TIME SENSITIVE. Couple months ago I posted a google form for a free model for a 12hr speedrun and got 1600 submissions (INCLUDES BOTH ART AND RIG). This time, the doc will ONLY be open for an hour since this was posted. Link is in the comments. Good luck (Bellow are the results of my last 12hr speedrun, model was given for free to @Ramrancherr )

Pipi Slayer🦇💀

40,766 просмотров • 1 год назад

2024 LHP Mitchell Tarnowski 1st in depth look at the southpaw and it was impressive. 6-foot-2, clean arm, delivery works and showed feel for the zone. FB was 85-87 mph and played up / got consistent late offerings from hitters. Also showed feel for spin, breaking off a low 70s breaker with good depth.
0:18

2024 LHP Mitchell Tarnowski 1st in depth look at the southpaw and it was impressive. 6-foot-2, clean arm, delivery works and showed feel for the zone. FB was 85-87 mph and played up / got consistent late offerings from hitters. Also showed feel for spin, breaking off a low 70s breaker with good depth.

Prep Baseball Ohio

10,154 просмотров • 3 лет назад

During an exclusive Zoom call with Universal Music Indonesia, D4vd mentioned the process of working on Always Love with #Hyunjin. D4vd: I had honor of going to their (Skz) show at Sofi Stadium and i got to meet him (Hyunjin) there and i was like "yo we have to make a song". He was like "let's make the song". So we approach the studio, recorded it, and it was literally done in like an hour. He's so good!
0:14

During an exclusive Zoom call with Universal Music Indonesia, D4vd mentioned the process of working on Always Love with #Hyunjin. D4vd: I had honor of going to their (Skz) show at Sofi Stadium and i got to meet him (Hyunjin) there and i was like "yo we have to make a song". He was like "let's make the song". So we approach the studio, recorded it, and it was literally done in like an hour. He's so good!

HYUNJIN 현진 NATION

21,125 просмотров • 1 год назад

hi all, excited to join! i'm building an expressive mini "shoggoth" robot which will eventually be hooked up to gpt4o realtime voice. i'm currently working on the low-level policies, which are trained in a mujoco simulation with RL. to delay working on raw-pixels for now, i trained a pose-estimation model using deeplabcut and triangulate the position in 3d space using the stereo cameras. eventually, i'll use gpt4o's tool calling capabilities to activate several of these policies (closed and open loop) based on the dialog flow! captions: manual actuation of the tentacle / 3d pose estimation / target design
0:29

hi all, excited to join! i'm building an expressive mini "shoggoth" robot which will eventually be hooked up to gpt4o realtime voice. i'm currently working on the low-level policies, which are trained in a mujoco simulation with RL. to delay working on raw-pixels for now, i trained a pose-estimation model using deeplabcut and triangulate the position in 3d space using the stereo cameras. eventually, i'll use gpt4o's tool calling capabilities to activate several of these policies (closed and open loop) based on the dialog flow! captions: manual actuation of the tentacle / 3d pose estimation / target design

Matthieu LC

45,587 просмотров • 1 год назад

The #1 ranked amateur golfer in the world. Got the chance to film a video with Jackson Koivun and he was unreal. His stats have him ranked higher than Tiger in a lot of areas. He’s finished top 10 in multiple PGA Tour events as well. The real question is will he go back to college or turn pro? This was a dirty low cut wedge. Can’t wait for y’all to see this one Monday
0:14

The #1 ranked amateur golfer in the world. Got the chance to film a video with Jackson Koivun and he was unreal. His stats have him ranked higher than Tiger in a lot of areas. He’s finished top 10 in multiple PGA Tour events as well. The real question is will he go back to college or turn pro? This was a dirty low cut wedge. Can’t wait for y’all to see this one Monday

Grant Horvat

1,275,646 просмотров • 8 месяцев назад

You might not believe me but the 3D in this video was procedurally generated using Claude Code in blender. The main things I manually worked on were some texture changes as well as lighting and compositing/colorgrade in post later super cool that ai can help with stuff like this now, especially for a process that would usually take multiple days or even weeks if done traditionally Lmk if you'd want a guide on my process / how I did this
0:12

You might not believe me but the 3D in this video was procedurally generated using Claude Code in blender. The main things I manually worked on were some texture changes as well as lighting and compositing/colorgrade in post later super cool that ai can help with stuff like this now, especially for a process that would usually take multiple days or even weeks if done traditionally Lmk if you'd want a guide on my process / how I did this

newo

139,522 просмотров • 1 месяц назад

Tyler Fay on his start today: "I mean, it was kind of a disappointing outing for me. Didn't really have the slider working at all. But they had a lot of really tough ABs early in the game and kind of just got some momentum built up. And yeah, I think they did a good job hitting everything."
0:17

Tyler Fay on his start today: "I mean, it was kind of a disappointing outing for me. Didn't really have the slider working at all. But they had a lot of really tough ABs early in the game and kind of just got some momentum built up. And yeah, I think they did a good job hitting everything."

Davis Cornell

21,977 просмотров • 3 месяцев назад

In response to kache remarkable port of Box3D to GPU, here's my personal performance test for low level optimizations (still plenty left to do). Currently for 170k deterministic GPU chicken simulation(they spawn another chicken on touch and try to keep distance form each other) the avg step takes ~3.9 ms (250 fps without rendering) (profiling shot attached). This is still to slow. We need to cut it to 2 ms to be able to run it at consumer grade hardware
0:14

In response to kache remarkable port of Box3D to GPU, here's my personal performance test for low level optimizations (still plenty left to do). Currently for 170k deterministic GPU chicken simulation(they spawn another chicken on touch and try to keep distance form each other) the avg step takes ~3.9 ms (250 fps without rendering) (profiling shot attached). This is still to slow. We need to cut it to 2 ms to be able to run it at consumer grade hardware

Michal Staniszewski

23,389 просмотров • 2 месяцев назад

So remember that time machine I told you about? I managed to sneek out another video from my visit to the future.. this time I captured video of a 3d artist creating assets for a short commercial. They sculpted the bird in the video with nothing but two controllers which they used to manipulate generative matter in 3d. The AI model changed in realtime and adopted their style of work, both based on the work they did on the scene, and on reference images they gave the system. Seeing the 3d model transform in realtime as they were working on it was incredible. When it started moving and reacted to their instructions, I knew it was time to return to the present :D #art #ai
0:16

So remember that time machine I told you about? I managed to sneek out another video from my visit to the future.. this time I captured video of a 3d artist creating assets for a short commercial. They sculpted the bird in the video with nothing but two controllers which they used to manipulate generative matter in 3d. The AI model changed in realtime and adopted their style of work, both based on the work they did on the scene, and on reference images they gave the system. Seeing the 3d model transform in realtime as they were working on it was incredible. When it started moving and reacted to their instructions, I knew it was time to return to the present :D #art #ai

Martin Nebelong

22,044 просмотров • 2 лет назад

President Trump confirms that Tulsi Gabbard was at the FBI raid in Georgia and says that “some interesting things” are coming💥 Reporter: “Mr. President, what was Tulsi Gabbard doing at an election center in Georgia today?” POTUS: “She’s working very hard on trying to keep the election safe, and she’s done a very good job. And as you know, they got into the votes. You’ve got a signed judges order in Georgia and you’re gonna see some interesting things happening.” We’ve waited a long time for this. Let’s get it.
0:19

President Trump confirms that Tulsi Gabbard was at the FBI raid in Georgia and says that “some interesting things” are coming💥 Reporter: “Mr. President, what was Tulsi Gabbard doing at an election center in Georgia today?” POTUS: “She’s working very hard on trying to keep the election safe, and she’s done a very good job. And as you know, they got into the votes. You’ve got a signed judges order in Georgia and you’re gonna see some interesting things happening.” We’ve waited a long time for this. Let’s get it.

TheStormHasArrived

133,312 просмотров • 7 месяцев назад

😓 Air India 🇮🇳 Flight AI171 with fully loaded Boeing 787-7 Dreamliner fatal accident: I‘m an airline pilot with >15‘000h of experience and a physics institute: My brief PRELIMINARY analysis of the visible facts from the video of the takeoff: * The flaps are only slightly extended, presumably to position 1 instead of 5. * The landing gear is still extended, which should have been retracted at this altitude and causes additional drag. * The aircraft is at a high angle of attack, which confirms the insufficient flap setting. * From the video and witness accounts, only low engine noise is audible. * Neither smoke nor fire is visible. * An engine failure is less likely. The most probable cause is presumably a human factor, an incorrectly chosen, insufficient flap setting for takeoff, and consequently an inadequately selected thrust. In this context, the correlated speeds were too low because they were calculated for a larger flap setting or a lighter aircraft. As a result, the aircraft took off with insufficient speed and intentionally but falsely derated thrust, was therefore on the unstable side, and rapidly lost more speed and altitude due to the additional failure to retract the landing gear in a timely manner, leading to a subsequent stall at low altitude and crash. For the experts: the aircraft got onto the wrong side of the speed vs drag curve and maneuvered itself into a corner from where there is no escape. Another possible cause could also have been an incorrect input of a wrong takeoff weight into the Flight Management System, resulting in too low thrust and too low speeds. The pilots got startled after takeoff, couldn’t wrap their head around what went wrong and incorrectly prioritized making an emergency call instead of flying the aircraft first, manually increasing thrust immediately to maximum, and retracting the landing gear. In summary of this very early and preliminary assessment (your confidence level should be as low as mine): The most probable cause is human error 😓 - as most of the time these days. Not because the pilots got worse (although that effect can be observed as well with prioritization of diversity over competence) - but because technology got so much better.
0:16

😓 Air India 🇮🇳 Flight AI171 with fully loaded Boeing 787-7 Dreamliner fatal accident: I‘m an airline pilot with >15‘000h of experience and a physics institute: My brief PRELIMINARY analysis of the visible facts from the video of the takeoff: * The flaps are only slightly extended, presumably to position 1 instead of 5. * The landing gear is still extended, which should have been retracted at this altitude and causes additional drag. * The aircraft is at a high angle of attack, which confirms the insufficient flap setting. * From the video and witness accounts, only low engine noise is audible. * Neither smoke nor fire is visible. * An engine failure is less likely. The most probable cause is presumably a human factor, an incorrectly chosen, insufficient flap setting for takeoff, and consequently an inadequately selected thrust. In this context, the correlated speeds were too low because they were calculated for a larger flap setting or a lighter aircraft. As a result, the aircraft took off with insufficient speed and intentionally but falsely derated thrust, was therefore on the unstable side, and rapidly lost more speed and altitude due to the additional failure to retract the landing gear in a timely manner, leading to a subsequent stall at low altitude and crash. For the experts: the aircraft got onto the wrong side of the speed vs drag curve and maneuvered itself into a corner from where there is no escape. Another possible cause could also have been an incorrect input of a wrong takeoff weight into the Flight Management System, resulting in too low thrust and too low speeds. The pilots got startled after takeoff, couldn’t wrap their head around what went wrong and incorrectly prioritized making an emergency call instead of flying the aircraft first, manually increasing thrust immediately to maximum, and retracting the landing gear. In summary of this very early and preliminary assessment (your confidence level should be as low as mine): The most probable cause is human error 😓 - as most of the time these days. Not because the pilots got worse (although that effect can be observed as well with prioritization of diversity over competence) - but because technology got so much better.

Iven‘s Dad

2,786,862 просмотров • 1 год назад

Wan 3.0 is now available on Flova. To put it to the test, I gave Wan 3.0, Seedance 2.5, and MiniMax H3 the same live-action ice queen scene—and each model created a completely different frozen world. With Flova’s all-in-one Agent workflow, you can call multiple models, compare their results, and continue refining your film without switching platforms. Which version would you choose? FlovaAI x Wan 3.0! Limited-Time Offer for Wan3.0 480P: As Low As $0.013/sec
0:15

Wan 3.0 is now available on Flova. To put it to the test, I gave Wan 3.0, Seedance 2.5, and MiniMax H3 the same live-action ice queen scene—and each model created a completely different frozen world. With Flova’s all-in-one Agent workflow, you can call multiple models, compare their results, and continue refining your film without switching platforms. Which version would you choose? FlovaAI x Wan 3.0! Limited-Time Offer for Wan3.0 480P: As Low As $0.013/sec

K

21,742 просмотров • 1 месяц назад

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.
0:14

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora

23,522 просмотров • 11 месяцев назад

This chick reminds me of a girl I knew in my kendo class back in the early 2000s who was Japanese and English. Her dad was Japanese and made her learn her mother's English. Dude was an Anglophile. We were stuck at a hotel for a tournament, and I couldn't watch more than 20 minutes of "Braveheart" because he wouldn't shut up about how everything was historically wrong with the film.
0:19

This chick reminds me of a girl I knew in my kendo class back in the early 2000s who was Japanese and English. Her dad was Japanese and made her learn her mother's English. Dude was an Anglophile. We were stuck at a hotel for a tournament, and I couldn't watch more than 20 minutes of "Braveheart" because he wouldn't shut up about how everything was historically wrong with the film.

Asian Dawn

35,707 просмотров • 3 месяцев назад