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20212026
most citedAn Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data

2 citations · 3 across the 8 of their papers we have counts for

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cs.CV2026

Reflecting Process Expertise in Procedural Material Generation

Kunal Gupta, Gaurav Joshi, Yen-Ru Chen +3

Procedural material creation underpins applications in digital content creation, visual effects, and 3D asset design. Achieving high-quality results requires more than reproducing…

cs.CV2026

-Scene: Physically Grounded Image-to-3D Scene Reconstruction

Haodong Li, Lulu Shao, Haolin Lu +4

Recent image-to-3D scene methods recover high-fidelity 3D objects with plausible arrangements, but often leave floatings and interpenetrations that limit physical validity and down…

cs.CV2026

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023★ 1 cited

Blocks2World: Controlling Realistic Scenes with Editable Primitives

Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth +2

We present Blocks2World, a novel method for 3D scene rendering and editing that leverages a two-step process: convex decomposition of images and conditioned synthesis. Our techniqu…