影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
50.41/100
前 8.4%
全站排名 #5,404
发表论文12 篇
平均评分
年均产出4.0 篇/年
Przemysław Spurek
研究方向
Gaussian Splatting · NeRF · meta learning · few-shot learning · continual learning · 3D point clouds · generative models
16
Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models
ICLR 2026Rejected
通讯5
GENIE: Gaussian Encoding for Neural Radiance Field Interactive Editing
ICLR 2026Withdrawn
通讯5
FaceParts: Segmentation and Editing of Gaussian Splatting Avatars
ICLR 2026Withdrawn
11
UnGuide: Learning to Forget with LoRA-Guided Diffusion Models
ICLR 2026Rejected
通讯25
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
NeurIPS 2025Poster
通讯18
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
ICLR 2025Poster
通讯8
MiraGe: Editable 2D Images using Gaussian Splatting
ICLR 2025Rejected
通讯11
MiraGe: Editable 2D Images using Gaussian Splatting
ICML 2025Poster
通讯5
Make Interval Bound Propagation great again
ICLR 2025Withdrawn
通讯5
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
ICLR 2025Withdrawn
通讯