no code implementations • 28 Dec 2023 • Towaki Takikawa, Thomas Müller, Merlin Nimier-David, Alex Evans, Sanja Fidler, Alec Jacobson, Alexander Keller
Neural graphics primitives are faster and achieve higher quality when their neural networks are augmented by spatial data structures that hold trainable features arranged in a grid.
1 code implementation • CVPR 2023 • Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
Neural surface reconstruction has been shown to be powerful for recovering dense 3D surfaces via image-based neural rendering.
1 code implementation • CVPR 2023 • Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Muller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
We present a near real-time method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence, while simultaneously performing neural 3D reconstruction of the object.
1 code implementation • 18 Oct 2022 • Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
We present a parallelized optimization method based on fast Neural Radiance Fields (NeRF) for estimating 6-DoF pose of a camera with respect to an object or scene.
no code implementations • 7 Sep 2022 • Guillermo Angeris, Tarun Chitra, Alex Evans, Matthew Lorig
When asset prices can jump and the volatility process is independent of the underlying risky assets, we derive an explicit replication strategy for the short side of a perpetual contract.
1 code implementation • 15 Jun 2022 • Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler
Neural approximations of scalar and vector fields, such as signed distance functions and radiance fields, have emerged as accurate, high-quality representations.
no code implementations • 14 May 2022 • Jonathan Tremblay, Moustafa Meshry, Alex Evans, Jan Kautz, Alexander Keller, Sameh Khamis, Thomas Müller, Charles Loop, Nathan Morrical, Koki Nagano, Towaki Takikawa, Stan Birchfield
We present a large-scale synthetic dataset for novel view synthesis consisting of ~300k images rendered from nearly 2000 complex scenes using high-quality ray tracing at high resolution (1600 x 1600 pixels).
Ranked #1 on Novel View Synthesis on RTMV
17 code implementations • 16 Jan 2022 • Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller
Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate.
no code implementations • 26 Nov 2021 • Guillermo Angeris, Alex Evans, Tarun Chitra
In this paper, we show that any monotonic payoff can be replicated using only liquidity provider shares in constant function market makers (CFMMs), without the need for additional collateral or oracles.
2 code implementations • CVPR 2022 • Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler
We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations.
Ranked #2 on Depth Prediction on Stanford-ORB
no code implementations • 1 Apr 2021 • Alex Evans, Guillermo Angeris, Tarun Chitra
Trading fees have been proposed as a mechanism for compensating LPs for arbitrage losses.
no code implementations • 26 Mar 2021 • Guillermo Angeris, Alex Evans, Tarun Chitra
We present a method for constructing Constant Function Market Makers (CFMMs) whose portfolio value functions match a desired payoff.
no code implementations • 15 Dec 2020 • Guillermo Angeris, Alex Evans, Tarun Chitra
We show that this definition is tightly related to the curvature of a CFMM's trading function and can be used to explain a number of heuristic results.
no code implementations • 16 Jun 2020 • Tarun Chitra, Alex Evans
As smart contract platforms autonomously manage billions of dollars of capital, quantifying the portfolio risk that investors engender in these systems is increasingly important.
no code implementations • 15 Jun 2020 • Alex Evans
These strategies allow LP shares to replicate various trading strategies and financial contracts, including standard options.