She’s the money. Every penny of it.
Today in 2006, Daniel Craig (James Bond) and Eva Green (Vesper Lynd) filmed the CASINO ROYALE train scene at Barrandov Studios, Prague.
Generate 3D Objects with just ONE Image!
Today releasing a 1-click launcher for TripoSR Gradio App.
Now you can run this revolutionary image-to-3d model LOCALLY on your machine!
Works on Mac, Windows, Linux, and it's so fast! It even works reasonably on machines without GPUs.
Instant Video-to-3D with DUST3R
Dust3r generates a whole 3D scene from just a couple of images. What if it could:
1. Accept a VIDEO
2. Extract the video frames
3. Turn them into 3D?
So added a Gradio Video Component.
Here's me generating 3D from a video cc: @naverlabseurope
The dark forest new mood
For lighting HDR+Directional Light for vfx from Sky Creator only volumetric fog.
The terrain and path was created inside Unreal using sculpt tool and insert Quixel megascans assets and brushed trees from Biome Conifer, creepy trees created with Speedtree.
More details 👇
https://t.co/sOXYUjTJ8o
#ue4 #ue5 #gameplay #realism #forest #UnrealEngine5 #lumen #horror
#UnrealEngine #quixel #environment #forest #village #realtime #pbl #3d #videogames #videogame #megascans #forestpath #sky #cloudy #rtx4090 #nvidia #lake #overcast @UnrealEngine@quixeltools@SpeedTreeInc@80Level
Forget about #Sora. DUSt3R is the real deal. I took two pictures of our kitchen that barely overlap. It took << 2sec on a RTX 4090 to reconstruct it in an insane quality. Can we get out a point cloud for Gaussian Splatting #3DGS training + the camera poses?
Cruise downriver with this Virtual Jungle River project from Leo Torres 🚣
It was rendered in UE 5.3 and uses hardware Lumen for reflections and GI, Nanite for all meshes and landscape. Most of the foliage is comprised of Quixel Megascans trees, too!
Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
paper page: https://t.co/2QAdqpBaHS
Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.