2 citations · 5 across the 8 of their papers we have counts for
11 papers
SMAL-pets: SMAL Based Avatars of Pets from Single Image
Piotr Borycki, Joanna Waczyńska, Yizhe Zhu +2
Creating high-fidelity, animatable 3D dog avatars remains a formidable challenge in computer vision. Unlike human digital doubles, animal reconstruction faces a critical shortage o…
IRIS: Intersection-aware Ray-based Implicit Editable Scenes
Grzegorz Wilczyński, Mikołaj Zieliński, Krzysztof Byrski +3
Neural Radiance Fields achieve high-fidelity scene representation but suffer from costly training and rendering, while 3D Gaussian splatting offers real-time performance with stron…
DIAMOND: Directed Inference for Artifact Mitigation in Flow Matching Models
Alicja Polowczyk, Agnieszka Polowczyk, Piotr Borycki +3
Despite impressive results from recent text-to-image models like FLUX, visual and anatomical artifacts remain a significant hurdle for practical and professional use. Existing meth…
Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models
Agnieszka Polowczyk, Alicja Polowczyk, Joanna Waczyńska +2
The impressive capability of modern text-to-image models to generate realistic visuals has come with a serious drawback: they can be misused to create harmful, deceptive or unlawfu…
GS-Verse: Mesh-based Gaussian Splatting for Physics-aware Interaction in Virtual Reality
Anastasiya Pechko, Piotr Borycki, Joanna Waczyńska +4
As the demand for immersive 3D content grows, the need for intuitive and efficient interaction methods becomes paramount. Current techniques for physically manipulating 3D content…
HuSc3D: Human Sculpture dataset for 3D object reconstruction
Weronika Smolak-Dyżewska, Dawid Malarz, Grzegorz Wilczyński +4
3D scene reconstruction from 2D images is one of the most important tasks in computer graphics. Unfortunately, existing datasets and benchmarks concentrate on idealized synthetic o…
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Kornel Howil, Joanna Waczyńska, Piotr Borycki +3
Gaussian Splatting (GS) has recently emerged as an efficient representation for rendering 3D scenes from 2D images and has been extended to images, videos, and dynamic 4D content.…
MiraGe: Editable 2D Images using Gaussian Splatting
Joanna Waczyńska, Tomasz Szczepanik, Piotr Borycki +3
Implicit Neural Representations (INRs) approximate discrete data through continuous functions and are commonly used for encoding 2D images. Traditional image-based INRs employ neur…
GASP: Gaussian Splatting for Physic-Based Simulations
Piotr Borycki, Weronika Smolak, Joanna Waczyńska +3
Physics simulation is paramount for modeling and utilizing 3D scenes in various real-world applications. However, integrating with state-of-the-art 3D scene rendering techniques su…
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup
Joanna Waczyńska, Piotr Borycki, Joanna Kaleta +2
Over the past years, we have observed an abundance of approaches for modeling dynamic 3D scenes using Gaussian Splatting (GS). Such solutions use GS to represent the scene's struct…
GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting
Joanna Waczyńska, Piotr Borycki, Sławomir Tadeja +2
Gaussian Splatting (GS) is a novel, state-of-the-art technique for rendering points in a 3D scene by approximating their contribution to image pixels through Gaussian distributions…