ARC3D

Welcome to the newest ARC advisor - @LukaszMirocha! Catch @RadianceFields and @LukaszMirocha at Siggraph Asia this week on Arrival.space: arrival.space/opuslab_radian…

Catch the replay of our live event from last week on 4DGS! Here's a clip of @RadianceFields, joined by @azadgenius and @arvinkx, discussing how unlike the transition from still imagery to video which took decades, 3DGS to 4DGS happened in years. arc3d.co/events/webinar…

Join @RadianceFields, @arvinkx, and @azadgenius of @G3NIUSXR on September 18th for an in-depth discussion on the state of 4D (dynamic) gaussian splatting. Learn more and register here: arc3d.co/events/webinar…

FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses Abstract (excerpt): We present FastAvatar, a pose-invariant, feed-forward framework that can generate a 3D Gaussian Splatting (3DGS) model from a single face image from an arbitrary pose in near-instant time (<10ms). FastAvatar uses a novel encoder-decoder neural network design to achieve both fast fitting and identity preservation regardless of input pose. First, FastAvatar constructs a 3DGS face "template" model from a training dataset of faces with multi-view captures. Second, it encodes the input face image into an identity-specific and pose-invariant latent embedding, and decodes this embedding to predict residuals to the structural and appearance parameters of each Gaussian in the template 3DGS model. By only inferring residuals in a feed-forward fashion, model inference is fast and robust. FastAvatar significantly outperforms existing feed-forward face 3DGS methods (e.g., GAGAvatar) in reconstruction quality and runs 1000x faster than per-face optimization methods (e.g., FlashAvatar, GaussianAvatars, and GASP).

Say hello to our newest advisor, Azad Abbasi from @G3NIUSXR! Azad joins @jonstephens85 and @willeastcott in helping guide our strategy of highlighting radiance fields implementations and fostering the community.

Lights, Camera, Neural Action! Learn how radiance fields are reshaping the film and VFX industries in our newest blog post: arc3d.co/blog/vfx-08202…

LOD systems are coming for Gaussian Splatting! Check out this LOD system for @playcanvas!

Join us this Thursday, Aug 21 for a live discussion with Michael Rubloff recapping everything related to radiance fields from SIGGRAPH 2025! Sign up here: arc3d.co/events/webinar…

🚀We’ve just released ViPE — a data annotation pipeline for jointly predicting depth and camera pose from video. ViPE powers both the training and testing stages of NVIDIA #GEN3C! 🔗ViPE: research.nvidia.com/labs/toronto-a… 🔗GEN3C: github.com/nv-tlabs/GEN3C

Catch all the new radiance fields announcements at @siggraph covered by our own Michael Rubloff from @RadianceFields! Have questions or topics you want covered? Post them as a comment below.

Learn about how the real estate and hospitality industry is utilizing gaussian splatting with @zillow's new SkyTour feature in our latest blog article: arc3d.co/blog/real-esta…

The ARC team had an amazing time helping bring splats to @OpenSauceLive 2025 this last weekend! Here's a video recap including some of the splats created from around the event that we captured with @NianticSpatial Scaniverse!

Tomorrow we are doing a free webinar with @playcanvas about their work with gaussian splatting! Make sure you register to receive the link: arc3d.co/events/webinar…

📣 We’re proud to launch ARC — the first association for radiance field technologies like NeRFs and Gaussian Splatting. 🎥 Join our first event: The State of Radiance Fields With @jonstephens85 & @Radiancefields 📅 May 15th | 🕒 11 am PT / 2 pm ET ✅ tinyurl.com/hpnd5uzh