Official Implementation (Pytorch) of "DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations", ICLR 2024
-
Updated
Jun 4, 2024 - Python
Official Implementation (Pytorch) of "DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations", ICLR 2024
[CVPR 2024 Highlight] LMF (Latent Modulated Function for Computational Optimal Continuous Image Representation)
Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023
[AAAI-2024] Pytorch implementation of "ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field"
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency
[WACV 2024] INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
CVPR 2024-Improved Implicit Neural Representation with Fourier Reparameterized Training
This repository, contains my academic work for the Fall 2023 CMSC828I course. It includes assignments, projects, and relevant documentation covering various aspects of computer vision and recognition.
This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh.
Official code of VolRecon (CVPR 2023)
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
Official Code for "Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields"
[CVPR 2024 Highlight] Boosting Neural Representations for Videos with a Conditional Decoder
Official code of UFORecon (CVPR 2024)
Official PyTorch implementation of Scalable Neural Video Representations with Learnable Positional Features (NeurIPS 2022).
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
[CVPR 2024] FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
Add a description, image, and links to the implicit-neural-representation topic page so that developers can more easily learn about it.
To associate your repository with the implicit-neural-representation topic, visit your repo's landing page and select "manage topics."