Stars
Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement (ICMR 2025)
[CVPR 2025] Official implementation for "Empowering LLMs to Understand and Generate Complex Vector Graphics" https://arxiv.org/abs/2412.11102
Official Implimentation of SoftShadow: Leveraging Penumbra-Aware Soft Masks for Shadow Removal
[ICLR 2025] Latent Radiance Fields with 3D-aware 2D Representations
LaTeX samples for NSF Research.gov Proposal Submission. For more information about Research.gov Proposal Submission visit https://www.research.gov/research-web/content/aboutpsm Feedback syee@nsf.gov
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
[ECCV2024] Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
This repository contains the implementation and pretrained model for the paper presented at ISBI2024: S3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
[CVPR2024] NARUTO: Neural Active Reconstruction
Official PyTorch implementation of QuantArt (CVPR2023)
PyTorch Implementation of Latent Space Anchoring (TPAMI 2023)
ShadowDiffusion (CVPR2023), Pytorch implementation
ShadowFormer (AAAI2023), Pytorch implementation
A latent text-to-image diffusion model
[ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
[CVPR 2022] Rethinking Spatial Invariance of Convolutional Networks for Object Counting
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
The PyTorch implementation for paper "Neural Texture Extraction and Distribution for Controllable Person Image Synthesis" (CVPR2022 Oral)
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)
BM-NAS: Bilevel Multimodal Neural Architecture Search (AAAI 2022 Oral)
Plenoxels: Radiance Fields without Neural Networks
Taming Transformers for High-Resolution Image Synthesis
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion