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20182026
most citedLite2Relight: 3D-aware Single Image Portrait Relighting

13 citations · 16 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Differentiable Polarized Path Tracing

Pramod Rao, Jérémy Riviere, Xilong Zhou +6

Physically based differentiable rendering has proven to be a powerful tool for inverse rendering problems (e.g., 3D reconstruction, reflectance estimation, lighting estimation). Ho…

cs.CV20261 cited

RelightAnyone: A Generalized Relightable 3D Gaussian Head Model

Yingyan Xu, Pramod Rao, Sebastian Weiss +5

3D Gaussian Splatting (3DGS) has become a standard approach to reconstruct and render photorealistic 3D head avatars. A major challenge is to relight the avatars to match any scene…

cs.CV2025

OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control

Xilong Zhou, Jianchun Chen, Pramod Rao +7

We introduce OLATverse, a large-scale dataset comprising around 9M images of 765 real-world objects, captured from multiple viewpoints under a diverse set of precisely controlled l…

cs.CV2025

3DPR: Single Image 3D Portrait Relight using Generative Priors

Pramod Rao, Abhimitra Meka, Xilong Zhou +11

Rendering novel, relit views of a human head, given a monocular portrait image as input, is an inherently underconstrained problem. The traditional graphics solution is to explicit…

cs.CV202413 cited

Lite2Relight: 3D-aware Single Image Portrait Relighting

Pramod Rao, Gereon Fox, Abhimitra Meka +8

Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate…

cs.CV20192 cited

Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval

Devraj Mandal, Pramod Rao, Soma Biswas

Cross-modal data matching refers to retrieval of data from one modality, when given a query from another modality. In general, supervised algorithms achieve better retrieval perfor…