Differentiable Visual Computing for Inverse Problems and Machine Learning

21 November 2023

Papers citing "Differentiable Visual Computing for Inverse Problems and Machine Learning"

9 / 9 papers shown

Title
Learning Image Fractals Using Chaotic Differentiable Point Splatting Adarsh Djeacoumar Felix Mujkanovic Hans-Peter Seidel Thomas Leimkuhler 41 0 0 24 Feb 2025
2D Neural Fields with Learned Discontinuities Chenxi Liu Siqi Wang Matthew Fisher Deepali Aneja Alec Jacobson 3DH 43 1 0 15 Jul 2024
Solving Vision Tasks with Simple Photoreceptors Instead of Cameras Andrei Atanov Jiawei Fu Rishubh Singh Isabella Yu Andrew Spielberg Amir Zamir 44 1 0 17 Jun 2024
Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering Wenzel Jakob Sébastien Speierer Nicolas Roussel Delio Vicini 32 50 0 02 Feb 2022
Differentiable Spline Approximations Minsu Cho Aditya Balu Ameya Joshi Anjana Prasad Biswajit Khara S. Sarkar Baskar Ganapathysubramanian A. Krishnamurthy C. Hegde 27 4 0 04 Oct 2021
Contact and Human Dynamics from Monocular Video Davis Rempe Leonidas J. Guibas Aaron Hertzmann Bryan C. Russell Ruben Villegas Jimei Yang 3DH 79 101 0 22 Jul 2020
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 203 1,242 0 22 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016