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...
by America Ortiz | Jun 18, 2024 | Rendering, Video Processing, Visual Computing
Neural Denoising for Deep-Z Monte Carlo Renderings We propose a hybrid reconstruction architecture that combines the depth-resolved reconstruction at each bin with the flattened reconstruction at the pixel level. April 20, 2024 Eurographics (2024) Authors...
