2 citations · 3 across the 8 of their papers we have counts for
12 papers
SPLATIFY: Reproduce, Discover, Innovate! From Papers and Ideas to Trainable 3DGS Code
Seemandhar Jain, Keshav Gupta, Manmohan Chandraker
The rapid growth of 3D Gaussian Splatting (3DGS) research demands significant effort to reimplement papers before building on them. We introduce SPLATIFY, a multi-agent framework t…
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…
-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…
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…
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…
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…
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…
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…
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data
Seemandhar Jain, Prarthi Jain, Abhishek Srivastava
Anomaly detection is critical in various fields, including intrusion detection, health monitoring, fault diagnosis, and sensor network event detection. The isolation forest (or iFo…
An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks
Seemandhar Jain, Prarthi Jain, Prabhat K. Upadhyay +2
Wireless Body Area Networks (WBANs) comprise a network of sensors subcutaneously implanted or placed near the body surface and facilitate continuous monitoring of health parameters…
Cube Sampled K-Prototype Clustering for Featured Data
Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja +2
Clustering large amount of data is becoming increasingly important in the current times. Due to the large sizes of data, clustering algorithm often take too much time. Sampling thi…
Digital Contact Tracing for Covid 19
Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre
The COVID19 pandemic created a worldwide emergency as it is estimated that such a large number of infections are due to human-to-human transmission of the COVID19. As a necessity,…