collaborators

11 papers

cs.CV2026

PanDORA: Casual HDR Radiance Acquisition of Indoor Scenes for Image-based Lighting

Mohammad Reza Karimi Dastjerdi, Dominique Tanguay-Gaudreau, Frédéric Fortier-Chouinard +3

Most novel view synthesis methods -- including Neural Radiance Fields (NeRF) -- struggle to capture the high dynamic range (HDR) radiance required for realistic image-based lightin…

cs.CV2026

ReAge3D: Re-Aging 3D Faces with View Consistency

Libing Zeng, Li Ma, Mingming He +3

We present a novel framework for realistic and controllable 3D face re-aging which produces highly detailed, identity-preserving results. Existing 3D editing methods, while effecti…

cs.GR2026

PureLight: Learning Complex Luminaires with Light Tracing

Pedro Figueiredo, Zixuan Li, Beibei Wang +2

We propose a neural formulation for estimating the appearance of complex luminaires. We focus on challenging luminaires with complex light transport (e.g., small emitters enclosed…

cs.GR2026

AlbedoEdit: Unified Instance-Level Video Editing with Albedo Guidance

Xilong Zhou, Bao-Huy Nguyen, Zheng Zeng +6

Video generative models have achieved remarkable progress in synthesizing photorealistic video sequences. However, enabling broader and more creative downstream applications requir…

cs.CV2026

RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors

Avinash Paliwal, Xilong Zhou, Wei Ye +3

In this paper, we propose RI3D, a novel 3DGS-based approach that harnesses the power of diffusion models to reconstruct high-quality novel views given a sparse set of input images.…

cs.CV2026

PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion

Avinash Paliwal, Xilong Zhou, Andrii Tsarov +1

In this paper, we present PanoDreamer, a novel method for producing a coherent 360° 3D scene from a single input image. Unlike existing methods that generate the scene sequentiall…