From the 1 of 6 linked papers with an AI index.
6 papers
Reflecting Process Expertise in Procedural Material Generation
Kunal Gupta, Gaurav Joshi, Yen-Ru Chen +3
The paper introduces a method that captures expert material‑creation workflows as textual process traces and uses large language models to generate and compile these traces into ed…
-Scene: Physically Grounded Image-to-3D Scene Reconstruction
Haodong Li, Lulu Shao, Haolin Lu +4
Reconstructing compositional 3D scenes from a single image is a fundamental challenge in 3D world modeling. Recent methods can recover high-fidelity, complete 3D objects and predic…
Generative Blocks World: Moving Things Around in Pictures
Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth +2
We describe Generative Blocks World to interact with the scene of a generated image by manipulating simple geometric abstractions. Our method represents scenes as assemblies of con…
Improved Convex Decomposition with Ensembling and Negative Primitives
Vaibhav Vavilala, Florian Kluger, Seemandhar Jain +3
Describing a scene in terms of primitives -- geometrically simple shapes that offer a parsimonious but accurate abstraction of structure -- is an established and difficult fitting…
NERFIFY: A Multi-Agent Framework for Turning NeRF Papers into Code
Seemandhar Jain, Keshav Gupta, Kunal Gupta +1
The proliferation of neural radiance field (NeRF) research requires significant efforts to reimplement papers before building upon them. We introduce NERFIFY, a multi-agent framewo…
Latent Intrinsics Emerge from Training to Relight
Xiao Zhang, William Gao, Seemandhar Jain +3
Image relighting is the task of showing what a scene from a source image would look like if illuminated differently. Inverse graphics schemes recover an explicit representation of…