activity
20192025
most citedGated-SCNN: Gated Shape CNNs for Semantic Segmentation

115 citations · 149 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GR2025

FastAtlas: Real-Time Compact Atlases for Texture Space Shading

Nicholas Vining, Alexander Majercik, Floria Gu +5

Texture-space shading (TSS) methods decouple shading and rasterization, allowing shading to be performed at a different framerate and spatial resolution than rasterization. TSS has…

cs.CV20241 cited

A LoRA is Worth a Thousand Pictures

Chenxi Liu, Towaki Takikawa, Alec Jacobson

Recent advances in diffusion models and parameter-efficient fine-tuning (PEFT) have made text-to-image generation and customization widely accessible, with Low Rank Adaptation (LoR…

cs.CV2024

Lagrangian Hashing for Compressed Neural Field Representations

Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan +7

We present Lagrangian Hashing, a representation for neural fields combining the characteristics of fast training NeRF methods that rely on Eulerian grids (i.e.~InstantNGP), with th…

cs.CV202133 cited

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

Towaki Takikawa, Joey Litalien, Kangxue Yin +6

Neural signed distance functions (SDFs) are emerging as an effective representation for 3D shapes. State-of-the-art methods typically encode the SDF with a large, fixed-size neural…

cs.CV2019115 cited

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

Towaki Takikawa, David Acuna, Varun Jampani +1

Current state-of-the-art methods for image segmentation form a dense image representation where the color, shape and texture information are all processed together inside a deep CN…