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At #SIGGRAPHAsia2023 we will present a method that optimizes pixel samples across both image space and time, to reduce perceptual error in animation rendering. iliyan.com/publications/P…

I hate when my images look blurry when I zoom them in. If you're like me, check out our #SIGGRAPHAsia2023 paper on a method that allows infinite zooming with razor-sharp discontinuities. iliyan.com/publications/D…

We continued our journey on the path (tracing) of tessellation-free displacement with RMIP, combining inverse displacement with rectangular mipmapping, yielding up to an order of magnitude faster execution. See our SIGGRAPH Asia 2023 paper for details: research.adobe.com/publication/rm…

📸You took a room photo or generated one with your favourite Diffusion model? Want to turn it into 3D but find finding and placing the assets is boring? 📚Checkout PSDR-Room for turning a single photo to scene using differentiable rendering & retrieval! shuangz.com/projects/psdr-…

Ever wanted to load a large asset in your GPU path tracer, only to find it doesn't fit in memory? Then check out our #SIGGRAPH2024 paper “N-BVH: Neural ray queries with bounding volume hierarchies” (with Alexander Rath, Élie Michel 🍪, Iliyan Georgiev, Philipp Slusallek and Tamy Boubekeur)

Our work on #NBVH (Neural ray queries with Bounding Volume Hierarchies) will be presented this summer at #SIGGRAPH2024! What's that? See🧵below ⤵️ 📃Source Code: github.com/WeiPhil/nbvh 🌐Project Page/Paper: weiphil.github.io/portfolio/neur… (ft. Weier Philippe Iliyan Georgiev Tamy Boubekeur et al.)

Check out Adobe Research's new work in Computer Vision at #CVPR2024! research.adobe.com/publications/?…

No more huge output PDFs in Overleaf. Put this file in your project root and it will compress non-JPEG images. Default quality settings are high, works even for noisy images. gist.github.com/iliyang/b087f6…

What a pleasant big surprise. Free to share a $1M secret to get a best paper award: to get Iliyan presenting the paper. Eurographics Symposium on Rendering Iliyan Georgiev. Congrats to Tzu-Mao Li, Trevor and Ravi.

We present a learning-based rendering method that uses normalizing flows to efficiently importance sample product distributions comprising distant emitters (i.e., HDRI lighting). This is joint work with my amazing collaborators Milos Hasan, Fujun Luan, Krishna Mullia, and

We’re thrilled to release the implementation and model weights for our SIGGRAPH 2024 paper, "RGB↔X: Image Decomposition and Synthesis Using Material- and Lighting-aware Diffusion Models"! 📂 GitHub Repository: github.com/zheng95z/rgbx RGB↔X is a unified diffusion-based

I created the ComfyUI_rgbx_Wrapper node. Try using rgbx in ComfyUI! #AIイラスト #AI #Comfyui

🎓 We introduce SAMa! A material selection and segmentation model on 3D models in any format (3DGS, NeRF, Mesh). Given a user click, we propose to select all regions on an objects with the same material. We can also do segmentation in under a minute: mfischer-ucl.github.io/sama/

Cool! Try the rgbx wrapper in ComfyUI made by toyxyz. If you're interested about the technical details, check out our paper at zheng95z.github.io/publications/r….

I didn't even expect it will work on anime images! Check this out!

Adobe Research is heading to #SIGGRAPH2025, the premiere conference for computer graphics and interactive techniques! From generative image editing to 3D reconstruction, we’re sharing 25 papers this year – this teaser is just a glimpse. 🔗 adobe.ly/3J5WGTm Come find us at