Ray Zhuang @XRay_Zh
Working in Huawei 2012 Lab. If you want to join us or look for internship, contact me at any time Vancouver, British Columbia Joined August 2022-
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More sessions up! Looking like it will be a great event. graphicsprogrammingconference.com
An Introduction to Neural Shading, Siggraph 2025 course presentation slides dl.acm.org/doi/suppl/10.1… and materials github.com/shader-slang/n…
AMD FSR Redstone is our upcoming suite of ML-powered AMD #FidelityFX neural rendering technologies. 🟥 Get your game Redstone ready with #FSR 3.1.4 🟥 We've also updated our #UnrealEngine FSR 3 & Radeon Anti-Lag 2 plugins to support UE 5.6. Details ➡️ gpuopen.com/learn/amd-fsr3…
Incredible evolution of "Neural Video Games": from GQN (2018) to Genie3 (2025). The future is exciting! deepmind.google/discover/blog/…
Game Gen - O: Open-world Video Game Generation The first diffusion-transformer model tailored for the generation of open-world video games!!🤩
How can Wukong's hair not be majestic? Check Digital Salon ! An all-in-one toolkit with AI hairstyle generation and real-time physics simulation for tens of thousands of strands, all running on a laptop. Game devs, what are you waiting for? To lead the future of AAA titles,…
My SIGGRAPH 2024 slides (with speaker notes) are now available in ARM's website. Moving Mobile Graphics: Transitioning HypeHype to Physically Based Rendering community.arm.com/arm-community-…
Ready to upscale your mobile game development without losing performance? 👉 Say hello to Arm Accuracy Super Resolution It's our open source solution derived from FSR2, designed to increase the resolution of images from low to high with our efficient shader code:…
GPUs go BRRR 🔥 NeRF-XL by NVIDIA is a new method for distributing NeRFs across multiple GPUs, enabling training and rendering 3D scenes of arbitrarily large capacity. 3 incredible examples ⬇️
Introducing “FlowMap”, the first self-supervised, differentiable structure-from-motion method that is competitive with conventional SfM like Colmap! cameronosmith.github.io/flowmap/ IMO this solves a major missing piece for internet-scale training of 3D Deep Learning methods. 1/n
📢A new learning-based approach to SfM: #ACEZero No img-to-img matching, optimises image-to-scene correspondences directly. Needs no pose priors. Works on unordered image sets. Efficiently handles thousands of images. Paper: arxiv.org/abs/2404.14351 Page: nianticlabs.github.io/acezero
DeblurGS: Gaussian Splatting for Camera Motion Blur arxiv.org/abs/2404.11358
SpaTracker can track any 2D pixels in 3D space, which allows for better handling of occlusions and out-of-plane rotations. Only seen this on the 2D plane until, looks pretty dope! Cool 3D examples + Links ⬇️
Speeding your view synthesis(<40s) with #InstantSplat! Our large-scale, pose-free method trains in just 37 seconds from sparse views—no #COLMAP, no intrinsics needed. Achieving nearly 30dB test PSNR with just 12 images, New standard in #NVS and new training efficiency.…
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians arxiv.org/abs/2404.01133 Project: dekuliutesla.github.io/citygs/ Method ⬇️ 1 I 2
I am currently working in Huawei 2012 Lab. If you want to join Huawei or look for internship opportunities, please contact me. We welcome PhD students with graphics rendering and AI background to join us
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