by America Ortiz | Oct 1, 2024 | Video Processing, Visual Computing
Efficient Video Encoder Autotuning via Offline Bayesian Optimization and Supervised Learning We propose an efficient video encoder autotuner based on offline Bayesian optimization and supervised machine learning. Our proposal uses Bayesian optimization to search for a...
by America Ortiz | Sep 28, 2024 | Video Processing, Visual Computing
Lossy Image Compression with Foundation Diffusion Models In this work, we formulate the removal of quantization error as a denoising task, using diffusion to recover lost information in the transmitted image latent. September 28, 2024 European Conference on Computer...
by America Ortiz | Jul 28, 2024 | Capture, VFX, Visual Computing
Learning a Generalized Physical Face Model From Data In this work, we aim to make physics-based facial animation more accessible by proposing a generalized physical face model that we learn from a large 3D face dataset. Once trained, our model can be quickly fit to...
by America Ortiz | Jul 28, 2024 | Rendering, Video Processing, Visual Computing
Versatile Vision Foundation Model for Image and Video Colorization In this work we show how a latent diffusion model, pre-trained on text-to-image synthesis, can be finetuned for image colorization and provide a flexible solution for a wide variety of scenarios: high...
by America Ortiz | Jul 28, 2024 | Animation, Visual Computing
Controllable Neural Style Transfer for Dynamic Meshes In this paper we propose a novel mesh stylization technique that improves previous NST works in several ways. First, we replace the standard Gram-Matrix style loss by a Neural Neighbor formulation that enables...
