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Dmytro Spodarets

Articles by Dmytro Spodarets

163 items

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
This paper explores a new way of controlling GANs that includes "dragging" any points of the image to reach target points in a user-interactive manner - DragGAN. It can help to deform an image with precise control over where pixels go, thus manipulating the pose, shape, expression, etc.
May 26, 2023
Data Phoenix Digest - ISSUE 6.2023
Upcoming webinars about unlocking data value with LLM and reducing NLP Inference costs, testing ML models for production, how to train your own LLM, CompressGPT, FriendlyCore, 3D generation on ImageNet, guidance for diffusion models, S-NeRF, QA4RE, and more.
May 23, 2023
Segment Anything Model
SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training. The model was trained on Meta AI’s SA-1B dataset for 3-5 days on 256 A100 GPUs. Make sure that you try it!
May 17, 2023
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
BundleSDF is a near real-time method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence, while performing neural 3D reconstruction of the object. The method significantly outperforms existing approaches.
May 14, 2023
Neural Preset for Color Style Transfer
Neural Preset is a technique that uses AI to generate and transfer color styles. It can extract color styles from given reference images, store them as presets, and apply them to other images and videos, producing output with target color styles. Check it out!
May 12, 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT is a 50 billion parameter language model that is trained on a wide range of financial data. It is validated on standard LLM benchmarks, open financial benchmarks, and a suite of internal benchmarks that most accurately reflect our intended usage.
Apr 25, 2023
S-NeRF: Neural Radiance Fields for Street Views
In this paper, the authors propose a new street-view NeRF (S-NeRF) that considers novel view synthesis of both the large-scale background scenes and the foreground moving vehicles jointly. Learn more about their approach and the results of experiments!
Mar 27, 2023
Universal Guidance for Diffusion Models
Typical diffusion models cannot be conditioned on other modalities without retraining. This work presents a universal guidance algorithm that enables diffusion models to be controlled by arbitrary guidance modalities without the need to retrain any use-specific components.
Mar 17, 2023
3D Generation on ImageNet
In this paper, the authors develop a 3D generator with Generic Priors (3DGP): a 3D synthesis framework with more general assumptions about the training data, and show that it scales to challenging datasets, like ImageNet. It is based on three new ideas. Learn them!
Mar 7, 2023
3D-aware Conditional Image Synthesis
This paper describes a 3D-aware conditional generative model for controllable photorealistic image synthesis. It integrates 3D representations with conditional generative modeling, i.e., enabling controllable high-resolution 3D-aware rendering by conditioning on user inputs.
Mar 5, 2023
SinMDM: Single Motion Diffusion
This paper presents a Single Motion Diffusion Model, dubbed SinMDM, a model designed to learn the internal motifs of a single motion sequence with arbitrary topology and synthesize motions of arbitrary length that are faithful to them. Check it out!
Mar 2, 2023
Data Phoenix Digest - ISSUE 5.2023
Special event "Startup’s Guide to Success in Central and Eastern Europe" at NVIDIA GTC, scaling media ML at Netflix, how to transform time series for DL, time series forecasting with DL in PyTorch, Megane, OmniObject3D, LEGO-Net, Offsite-Tuning, news, and more.
Mar 1, 2023