https://chen-geng.com
🧵 15/15
🧵 15/15
Karthik Dharmarajan, @zhang-yunzhi.bsky.social, Hadi Alzayer, @elliottwu.bsky.social, and @jiajunwu.bsky.social.
🧵 14/n
Karthik Dharmarajan, @zhang-yunzhi.bsky.social, Hadi Alzayer, @elliottwu.bsky.social, and @jiajunwu.bsky.social.
🧵 14/n
We have a massive gallery of generated 4D results, comparisons, and interactive demos on our website.
🔎 Explore the full gallery:
yanzhelyu.github.io/chord/#app
🧵 12/n
We have a massive gallery of generated 4D results, comparisons, and interactive demos on our website.
🔎 Explore the full gallery:
yanzhelyu.github.io/chord/#app
🧵 12/n
This 4D scene demonstrates our model's ability to generate human-animal interactions.
Notice the natural timing and coordination between the two figures.
🧵 11/n
This 4D scene demonstrates our model's ability to generate human-animal interactions.
Notice the natural timing and coordination between the two figures.
🧵 11/n
Watch a 4D scene of Darth Vader pushing down on a desk lamp.
Notice the articulation: the lamp folds and compresses naturally under the force of the hand. 💡📉
🧵 10/n
Watch a 4D scene of Darth Vader pushing down on a desk lamp.
Notice the articulation: the lamp folds and compresses naturally under the force of the hand. 💡📉
🧵 10/n
Notice the realistic physical interaction: Watch how the cushion deforms and reacts to the cat's weight as it lands.
Our pipeline generates these subtle contact dynamics automatically, without complex physical equations defined in simulators!
🧵 9/n
Notice the realistic physical interaction: Watch how the cushion deforms and reacts to the cat's weight as it lands.
Our pipeline generates these subtle contact dynamics automatically, without complex physical equations defined in simulators!
🧵 9/n
Users can generate a limitless variety of fun 4D worlds.
🍿 Watch this: A generated 4D scene of Captain America taking a break to pet a dog! 🛡️🐕
🧵 8/n
Users can generate a limitless variety of fun 4D worlds.
🍿 Watch this: A generated 4D scene of Captain America taking a break to pet a dog! 🛡️🐕
🧵 8/n
We employ a robust distillation strategy to learn dynamic motion patterns from large-scale video generative models.
Read more in our paper: yanzhelyu.github.io/chord/static...
🧵 7/n
We employ a robust distillation strategy to learn dynamic motion patterns from large-scale video generative models.
Read more in our paper: yanzhelyu.github.io/chord/static...
🧵 7/n
This allows us to generate coherent, minute-long 4D worlds without the physics breaking down.
Witness a full minute-long sequence:
1. Move plate to microwave 🍽️
2. Wait for heating ⏳
3. Retrieve plate ✅
🧵 6/n
This allows us to generate coherent, minute-long 4D worlds without the physics breaking down.
Witness a full minute-long sequence:
1. Move plate to microwave 🍽️
2. Wait for heating ⏳
3. Retrieve plate ✅
🧵 6/n
This ensures physical consistency, enabling direct transfer to robotic systems. 🦾
🔗 View more examples here: yanzhelyu.github.io/chord/#robot
🧵 5/n
This ensures physical consistency, enabling direct transfer to robotic systems. 🦾
🔗 View more examples here: yanzhelyu.github.io/chord/#robot
🧵 5/n
👇 Explore the interactive viewer yourself: yanzhelyu.github.io/chord/#viewer
🧵 4/n
👇 Explore the interactive viewer yourself: yanzhelyu.github.io/chord/#viewer
🧵 4/n
This flexibility allows CHORD to generate a diverse range of complex object interactions.
👇 Watch the example below: A generated 4D world showing a child launching a brick with a seesaw.
🧵: 3/n
This flexibility allows CHORD to generate a diverse range of complex object interactions.
👇 Watch the example below: A generated 4D world showing a child launching a brick with a seesaw.
🧵: 3/n
Input: Static 3D objects (zero dynamic annotations). Output: Plausible 4D object motion & coherent 4D scenes.
No rigs or skeletons required.
🧵: 2/n
Input: Static 3D objects (zero dynamic annotations). Output: Plausible 4D object motion & coherent 4D scenes.
No rigs or skeletons required.
🧵: 2/n