[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception
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Updated
Mar 12, 2024 - Python
[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception
code for the paper: Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imagery
[CVPR 2024] Code for "Improved Visual Grounding through Self-Consistent Explanations".
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
PyTorch implementation of the paper : Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation.
Official Code for 'TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes' (CVPR 2024)
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024
[CVPR 2024] AMUSE: Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
[CVPR-2024, Highlight, Top 2.8%] Official implementation for "Fast ODE-based Sampling for Diffusion Models in Around 5 Steps".
[CVPR 2024] OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
[CVPR 2024] Asymmetric Masked Distillation for Pre-Training Small Foundation Models
Code repo for the paper "Building Optimal Neural Architectures using Interpretable Knowledge", accepted to CVPR'24.
[CVPR 2024] Joint-Task Regularization for Partially Labeled Multi-Task Learning
Official implementation of CVPR 2024 paper "vid-TLDR: Training Free Token merging for Light-weight Video Transformer".
[CVPRW 2024] Official Implementation of "in2IN: Leveraging individual Information to Generate Human INteractions".
[CVPR 2024] Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
Official code for CVPR '24 paper GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
Object-Completion Tools for X-Ray Distillation framework
[CVPR 2024 Highlight] Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
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