🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Ok, this is the last one

Ever wondered how to integrate 3DGS into a pretrained video diffusion model? Check out our new approach, Generative Gaussian Splatting (GGS), that improves 3D-consistency in generated multi-view images. katjaschwarz.github.io/ggs/ arxiv.org/abs/2503.13272

1/3 Introducing FlowR 🌸: Flowing from Sparse to Dense 3D Reconstructions We learn a direct mapping between incorrect renderings and their corresponding ground-truth images, augmenting scene captures with consistent novel, generated views to improve reconstruction quality.

🚀 Details of the #CVPR2025 award candidate papers are out. 14 of 2967 accepted papers made the list, spanning 3D vision, embodied AI, VLMs/MLLMs, learning systems, and scene understanding. 3D vision leads with the most entries. I collected the TL;DR, paper, and project links👇

Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields Problem: In continuous-wave time-of-flight (C-ToF) radiance field reconstruction, the property of interest—depth—is not directly measured, causing an additional challenge. This problem

Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields Runfeng Li, Mikhail Okunev, Zixuan Guo, Anh Ha Duong, Christian Richardt, Matthew O'Toole, James Tompkin tl;dr: occupancy bias+low-reflectivity bias->discrepancy problem between the rendered mean

Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency Hyunho Ha, Lei Xiao, Christian Richardt, Thu Nguyen-Phuoc, Changil Kim, Min H. Kim, Douglas Lanman, Numair Khan tl;dr: TSDF in synthesized view’s image space->depth maps->image-based blending

one of Steve Jobs' best lines. simplicity is so hard.

Join our #CVPR2025 Tutorial on Volumetric Video in the Real World on 6/11! With amazing speakers: Aleksander Holynski Christian Richardt Boris Ivanovic Yiyi Liao Sharath Girish & Lan Xu ⏲️Wed, 6/11, 9am - 5pm CDT 🏢Room 205B, Music City Center, Nashville TN #CVPR2025 🔗nvlabs.github.io/cvpr2025-volum…

Excited to share our work at #CVPR2025! 👁️IRIS estimates accurate surface material, spatially-varying HDR lighting, and camera response function given a set of LDR images! It enables realistic, view-consistent, and controllable relighting and object insertion. (links in 🧵)

🔥 Very cool to bring paintings to life with Kling 2.1 while visiting the National Gallery in London 🇬🇧 Made with Photo Chat AI

Recording of the workshop is now online, big thanks to all the organizers and everyone who attended both in person and online! neural-bcc.github.io

📢📢We have a last-minute internship opening on my team at NVIDIA AI 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!