Our team at NVIDIA is recruiting PhD research interns for next year. If you are interested in neural reconstruction, generative models, graphics and related topics. Please apply at the link below or contact me directly. :)
nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx…
Our team at @NVIDIAAI is hiring Research Scientists (RS), Applied RS, and Research Engineers for topics related to neural 3D reconstruction. We are also looking for research interns!
If your background is relevant, shoot me a DM or email with your CV. I will also be at #ICCV2023
📢Our team at @NVIDIAAI is again looking for Research Scientists and Engineerings to help us push the boundaries of Neural Reconstruction and Generation in AV and Robotics simulation!
Check out our latest work at zgojcic.github.io, and if interested, reach out directly!
📢📢We have a last-minute internship opening on my team at @NVIDIAAI for this summer. If you are interested and have experience with large feedforward reconstruction models or post-training image/video diffusion models, please get in touch!
📢 My team at #NVIDIA is looking for Senior Research Scientists and Engineers to join us in advancing Neural Reconstruction and Generation methods for data-driven simulation in AV and Robotics.
If interested, please apply or contact me directly:
We have several PhD research internship positions open in our group at NVIDIA! If you are interested in working on neural fields, neural reconstruction or 3D generative models feel to reach out per DM/email. Check also other cool projects from our team at nv-tlabs.github.io
📣 We have released the source code of 3DGRT and 3DGUT in a common 3DGRUT repo under the Apache license!
Go try it out and play with our playground app!
DiffusionRenderer: Unifying forward and inverse rendering with video diffusion models.
Stoked that we are finally looking for alternatives to PBR, which requires near perfect G buffers that are hard if not impossible to obtain in real world!
🚀 Introducing DiffusionRenderer, a neural rendering engine powered by video diffusion models.
🎥 Estimates high-quality geometry and materials from videos, synthesizes photorealistic light transport, enables relighting and material editing with realistic shadows and reflections
📢📢 3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes
We are tracing 3D Gaussians, and we do it fast!
3DGRT natively supports distorted cameras, rolling-shutter, motion blur, depth of field, refraction, reflections, and shadows! #SIGGRAPHAsia2024@NVIDIAAI
After seeing all the amazing results of 2D generative models, it is now time for 3D!
Check out our new #NeurIPS2022 work GET3D. A powerful 3D generative model that directly outputs high-quality 3D textured meshes. @NVIDIAAI#3D#DL#ML#CV
Excited to share our #NeurIPS2022@NVIDIAAI work GET3D, a generative model that directly produces explicit textured 3D meshes with complex topology, rich geometric details, and high fidelity textures. #3D
Project page: nv-tlabs.github.io/GET3D/
In the NVIDIA Toronto AI Lab, we are looking for motivated interns to join our group either next summer or all year long!📢 We are working on 3D/4D vision, simulation for robotics/AV, generative modeling, content creation, and more. Please apply here #CVnam11.safelinks.protection.outlook.com/?url=https%3A%…
📢📢 3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes
We are tracing 3D Gaussians, and we do it fast!
3DGRT natively supports distorted cameras, rolling-shutter, motion blur, depth of field, refraction, reflections, and shadows! #SIGGRAPHAsia2024@NVIDIAAI
📢 Bring your distorted cameras, Gaussian splatting is not limited to perfect pinhole cameras anymore!!
Check out how our simple idea unlocks support for distorted cameras and time dependent effects! All this while retaining the efficiency of rasterization!
Say goodbye to perfect pinhole assumptions
Excited to introduce 3DGUT—a Gaussian Splatting formulation that unlocks support for distorted cameras, including time dependent effects like rolling shutter, while maintaining the benefits of rasterization, rendering at >250 FPS. 🧵
