Trending Research
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
tjiiv-cprg/epro-pnp
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CVPR 2022
The 2D-3D coordinates and corresponding weights are treated as intermediate variables learned by minimizing the KL divergence between the predicted and target pose distribution.
Ranked #4 on
6D Pose Estimation using RGB
on LineMOD
Evaluating Large Language Models Trained on Code
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities.
Ranked #1 on
Code Generation
on APPS
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case
clementchadebec/benchmark_VAE
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In recent years, deep generative models have attracted increasing interest due to their capacity to model complex distributions.
Free-Form Image Inpainting with Gated Convolution
zuruoke/watermark-removal
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ICCV 2019
We present a generative image inpainting system to complete images with free-form mask and guidance.
Ranked #3 on
Image Inpainting
on Places2 val
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
We present the Pathways Autoregressive Text-to-Image (Parti) model, which generates high-fidelity photorealistic images and supports content-rich synthesis involving complex compositions and world knowledge.
Ranked #1 on
Text-to-Image Generation
on COCO
The ArtBench Dataset: Benchmarking Generative Models with Artworks
We introduce ArtBench-10, the first class-balanced, high-quality, cleanly annotated, and standardized dataset for benchmarking artwork generation.
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
We introduce \textit{Nocturne}, a new 2D driving simulator for investigating multi-agent coordination under partial observability.
Zero-Shot Text-to-Image Generation
Text-to-image generation has traditionally focused on finding better modeling assumptions for training on a fixed dataset.
Ranked #12 on
Text-to-Image Generation
on COCO
(using extra training data)
HaGRID -- HAnd Gesture Recognition Image Dataset
hukenovs/hagrid
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In this paper, we introduce an enormous dataset HaGRID (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems.
RegionCLIP: Region-based Language-Image Pretraining
microsoft/regionclip
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CVPR 2022
However, we show that directly applying such models to recognize image regions for object detection leads to poor performance due to a domain shift: CLIP was trained to match an image as a whole to a text description, without capturing the fine-grained alignment between image regions and text spans.
