Search Results for author:
Found 17 papers, 11 papers with code
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
Multi-view image diffusion models have significantly advanced open-domain 3D object generation.
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
We introduce and open source ManiSkill3, the fastest state-visual GPU parallelized robotics simulator with contact-rich physics targeting generalizable manipulation.
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
The diffusion model is trained to jointly predict surrogate representations for camera poses and multi-view images of the object under known poses, integrating all information from the input sparse views.
Mining the Explainability and Generalization: Fact Verification Based on Self-Instruction
Although these methods offer high explainability, it falls short in accuracy compared to traditional fine-tuning approaches, and data security is also a significant concern.
The Economics of Blockchain Governance: Evaluate Liquid Democracy on the Internet Computer
Decentralized Autonomous Organizations (DAOs), utilizing blockchain technology to enable collective governance, are a promising innovation.
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing
Open-domain 3D object synthesis has been lagging behind image synthesis due to limited data and higher computational complexity.
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
Normalizing flows (NFs) provide a powerful tool to construct an expressive distribution by a sequence of trackable transformations of a base distribution and form a probabilistic model of underlying data.
Blockchain Network Analysis: A Comparative Study of Decentralized Banks
We apply core-periphery network features analysis using the transaction data from four decentralized banks, Liquity, Aave, MakerDao, and Compound.
SoK: Blockchain Decentralization
Blockchain introduces decentralized trust in peer-to-peer networks, advancing security and democratizing systems.
Cryptocurrency Valuation: An Explainable AI Approach
Currently, there are no convincing proxies for the fundamentals of cryptocurrency assets.
Empirical Analysis of EIP-1559: Transaction Fees, Waiting Time, and Consensus Security
However, a systematic evaluation of the real-world impact of TFMs is still absent.
Optimal Algorithmic Monetary Policy
Algorithmic stablecoins utilize a monetary policy that is entirely rule-based.
Deciphering Bitcoin Blockchain Data by Cohort Analysis
Specifically, we query and process the Bitcoin transaction input and output data within each daily cohort.
Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017
Extensive post-modeling investigation is conducted in a comparative manner between 2009 and 2017, including quantifying the importance of each input variable in predicting online shopping demand, and characterizing value-dependent relationships between demand and the input variables.
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
By using SynCT images (without segmentation labels) and MR images (with segmentation labels available), we have trained a deep segmentation network for precise delineation of prostate from real CT scans.
Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
Reliable 4D aircraft trajectory prediction, whether in a real-time setting or for analysis of counterfactuals, is important to the efficiency of the aviation system.
An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection
Over the past few decades, methods for classification and detection of rhythm or morphology abnormalities in ECG signals have been widely studied.
